From: =?gb2312?B?08kgV2luZG93cyBJbnRlcm5ldCBFeHBsb3JlciA4ILGjtOY=?= Subject: How to publish Linked Data on the Web Date: Tue, 5 Oct 2010 11:21:25 +0800 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0013_01CB647F.7270F260" X-MimeOLE: Produced By Microsoft MimeOLE V6.1.7600.16543 这是 MIME 格式的多方邮件。 ------=_NextPart_000_0013_01CB647F.7270F260 Content-Type: text/html; charset="utf-8" Content-Transfer-Encoding: quoted-printable Content-Location: http://www4.wiwiss.fu-berlin.de/bizer/pub/LinkedDataTutorial/ =EF=BB=BF How to publish = Linked Data on the Web

How to Publish Linked Data on the Web

Authors:=20
Chris=20 Bizer (Web-based Systems Group, Freie Universit=C3=A4t Berlin, = Germany)=20
Richard Cyganiak = (Web-based=20 Systems Group, Freie Universit=C3=A4t Berlin, Germany)=20
Tom Heath = (Knowledge=20 Media Institute, The Open University, Milton Keynes, UK)=20
This version:=20
http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTu= torial/20070727/=20
Latest version:=20
http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTutorial/=20

Abstract

This document provides a tutorial on how to publish Linked Data on = the Web.=20 After a general overview of the concept of Linked Data, we describe = several=20 practical recipes for publishing information as Linked Data on the = Web.

Table of Contents

1. Introduction: Linked Data on the Web

The goal of Linked Data is to enable people to share structured data = on the=20 Web as easily as they can share documents today.

The term Linked Data was coined by Tim Berners-Lee in his Linked Data = Web=20 architecture note. The term refers to a style of publishing and = interlinking=20 structured data on the Web. The basic assumption behind Linked Data is = that the=20 value and usefulness of data increases the more it is interlinked with = other=20 data. In summary, Linked Data is simply about using the Web to create = typed=20 links between data from different sources.

The basic tenets of Linked Data are to:

  1. use the RDF=20 data model to publish structured data on the Web=20
  2. use RDF=20 links to interlink data from different data sources

Applying both principles leads to the creation of a data commons on = the Web,=20 a space where people and organizations can post and consume data about = anything.=20 This data commons is often called the Web of Data or Semantic Web.

The Web of Data can be accessed using Linked Data browsers, just as = the=20 traditional Web of documents is accessed using HTML browsers. However, = instead=20 of following links between HTML pages, Linked Data browsers enable users = to=20 navigate between different data sources by following RDF links. This = allows the=20 user to start with one data source and then move through a potentially = endless=20 Web of data sources connected by RDF links. For instance, while looking = at data=20 about a person from one source, a user might be interested in = information about=20 the person's home town. By following an RDF link, the user can navigate = to=20 information about that town contained in another dataset.

Just as the traditional document Web can be crawled by following = hypertext=20 links, the Web of Data can be crawled by following RDF links. Working on = the=20 crawled data, search engines can provide sophisticated query = capabilities,=20 similar to those provided by conventional relational databases. Because = the=20 query results themselves are structured data, not just links to HTML = pages, they=20 can be immediately processed, thus enabling a new class of applications = based on=20 the Web of Data.

The glue that holds together the traditional document Web is the = hypertext=20 links between HTML pages. The glue of the data web is RDF links. An RDF = link=20 simply states that one piece of data has some kind of relationship to = another=20 piece of data. These relationships can have different types. For = instance, an=20 RDF link that connects data about people can state that two people know = each=20 other; an RDF link that connects information about a person with = information=20 about publications in a bibliographic database might state that a person = is the=20 author of a specific paper.

There is already a lot of structured data accessible on the Web = through Web=20 2.0 APIs such as the eBay,=20 Amazon, = Yahoo, and = Google Base = APIs.=20 Compared to these APIs, Linked Data has the advantage of providing a = single,=20 standardized access mechanism instead of relying on diverse interfaces = and=20 result formats. This allows data sources to be:

Having provided a background to Linked Data concepts, the rest of = this=20 document is structured as follows: Section=20 2 outlines the basic principles of Linked Data. Section=20 3 provides practical advice on how to name resources with URI = references. Section=20 4 discusses terms from well-known vocabularies and data sources = which should=20 be reused to represent information. Section=20 5 explains what information should be included into RDF descriptions = that=20 are published on the Web. Section=20 6 gives practical advice on how to generate RDF links between data = from=20 different data sources. Section=20 7 presents several complete recipes for publishing different types = of=20 information as Linked Data on the Web using existing Linked Data = publishing=20 tools. Section=20 8 discusses testing and debugging Linked Data sources. Finally Section=20 9 gives an overview of alternative discovery mechanisms for Linked = Data on=20 the Web.

2. Basic Principles

This chapter describes the basic principles of Linked Data. As Linked = Data is=20 closely aligned to the general architecture of the Web, we first = summarize the=20 basic principles of this architecture. Then we give an overview of the = RDF data=20 model and recommend how the data model should be used in the Linked Data = context.

2.1. Web Architecture

This section summarizes the basic principles of the Web Architecture = and=20 introduces terminology such as resource and = representation.=20 For more detailed information please refer to the Architecture of the World Wide = Web, Volume=20 One W3C recommendation and the current findings of the = W3C Technical Architecture Group=20 (TAG).

Resources

To publish data on the Web, we first have to identify the items = of=20 interest in our domain. They are the things whose properties and=20 relationships we want to describe in the data. In Web Architecture = terminology,=20 all items of interest are called resources.

In 'Dereferencing=20 HTTP URIs' the W3C Technical = Architecture Group (TAG) distinguish between two kinds of resources: = information resources and non-information resources = (also=20 called 'other resources') . This distinction is quite important in a = Linked Data=20 context. All the resources we find on the traditional document Web, such = as=20 documents, images, and other media files, are information resources. But = many of=20 the things we want to share data about are not: People, physical = products,=20 places, proteins, scientific concepts, and so on. As a rule of thumb, = all=20 =E2=80=9Creal-world objects=E2=80=9D that exist outside of the Web are = non-information=20 resources.

Resource Identifiers

Resources are identified using Uniform= Resource=20 Identifiers (URIs). In the context of Linked Data, we restrict=20 ourselves to using HTTP URIs only and avoid other URI schemes such as URNs and = DOIs.= HTTP=20 URIs make good names for two reasons: They provide a simple way to = create=20 globally unique names without centralized management; and URIs work not = just as=20 a name but also as a means of accessing information about a resource = over the=20 Web. The preference for HTTP over other URI schemes is discussed at = length in=20 the W3C TAG draft finding URNs, = Namespaces=20 and Registries.

Representations

Information resources can have representations. A = representation is=20 a stream of bytes in a certain format, such as HTML, RDF/XML, or JPEG. = For=20 example, an invoice is an information resource. It could be represented = as an=20 HTML page, as a printable PDF document, or as an RDF document. A single=20 information resource can have many different representations, e.g. in = different=20 formats, resolution qualities, or natural languages.

Dereferencing HTTP URIs

URI Dereferencing is the process of looking up a URI on the = Web in=20 order to get information about the referenced resource. The W3C TAG = draft=20 finding about Dereferencing=20 HTTP URIs introduced a distinction on how URIs identifying = information=20 resources and non-information resources are dereferenced:

Note: There are two approaches that data publishers can use to = provide=20 clients with URIs of information resources describing non-information = resources:=20 Hash URIs and 303 redirects. This document focuses mostly on the 303 = redirect=20 approach. See = Section=20 4.3 of Cool URIs for the Semantic Web for a discussion of = the=20 tradeoffs between both approaches.

Content Negotiation

HTML browsers usually display RDF representations as raw RDF code, or = simply=20 download them as RDF files without displaying them. This is not very = helpful to=20 the average user. Therefore, serving a proper HTML representation in = addition to=20 the RDF representation of a resource helps humans to figure out what a = URI=20 refers to.

This can be achieved using an HTTP mechanism called content=20 negotiation. HTTP clients send HTTP headers with each request to = indicate=20 what kinds of representation they prefer. Servers can inspect those = headers and=20 select an appropriate response. If the headers indicate that the client = prefers=20 HTML, then the server can generate an HTML representation. If the client = prefers=20 RDF, then the server can generate RDF.

Content negotiation for non-information resources is usually = implemented in the following way. When a URI identifying a = non-information=20 resource is dereferenced, the server sends a 303 redirect to an = information=20 resource appropriate for the client. Therefore, a data source often = serves three=20 URIs related to each non-information resource, for instance:

The picture below shows how dereferencing a HTTP URI identifying a=20 non-information resource plays together with content negotiation:

  1. The client performs an HTTP GET request on a URI identifying a=20 non-information resource. In our case a vocabulary URI. = If the=20 client is a Linked Data browser and would prefer an RDF/XML = representation of=20 the resource, it sends an Accept: application/rdf+xml = header=20 along with the request. HTML browsers would send an Accept:=20 text/html header instead.=20
  2. The server recognizes the URI to identify a non-information = resource. As=20 the server can not return a representation of this resource, it = answers using=20 the HTTP 303 See Other response code and sends the client = the URI=20 of an information resource describing the non-information resource. In = the RDF=20 case: RDF content location.=20
  3. The client now asks the server to GET a representation of this = information=20 resource, requesting again application/rdf+xml.=20
  4. The server sends the client a RDF/XML document containing a = description of=20 the original resource vocabulary URI.

3D"Schematic

A complete example of a HTTP session for dereferencing a URI = identifying a=20 non-information resource is given in Appendix=20 A.

URI Aliases

In an open environment like the Web it often happens that different=20 information providers talk about the same non-information resource, for = instance=20 a geographic location or a famous person. As they do not know about each = other,=20 they introduce different URIs for identifying the same real-world = object. For=20 instance: DBpedia a data source providing information that has been = extracted=20 from Wikipedia uses the URI http://dbpedia.org/resource/B= erlin=20 to identify Berlin. Geonames is a data source providing information = about=20 millions of geographic locations uses the URI http://sws.geonames.org/2950159= / to=20 identify Berlin. As both URIs refer to the same non-information = resource, they=20 are called URI aliases. URI aliases are common on the Web of Data, as it = can not=20 realistically be expected that all information providers agree on the = same URIs=20 to identify a non-information resources. URI aliases provide an = important social=20 function to the Web of Data as they are dereferenced to different = descriptions=20 of the same non-information resource and thus allow different views and = opinions=20 to be expressed. In order to still be able to track that different = information=20 providers speak about the same non-information resource, it is common = practice=20 that information providers set owl:sameAs links = to URI=20 aliases they know about. This practice is explained in Section=20 6 in more detail.

Associated Descriptions

Within this tutorial we use a new term which is not part of the = standard Web=20 Architecture terminology but useful in the Linked Data context. The term = is=20 associated description and it refers to the description of a=20 non-information resource that a client obtains by dereferencing a = specific URI=20 identifying this non-information resource. For example: Deferencing the = URI http://dbpedia.org/resource/B= erlin=20 asking for application/rdf+xml gives you, after a redirect, = an=20 associated description that is equal to the RDF description of http://dbpedia.org/resource/B= erlin=20 within the information resource http://dbpedia.org/data/Berlin. Using=20 this new term makes sense in a Linked Data context as it is common = practice to=20 use multiple URI aliases to refer to the same non-information resource = and also=20 because different URI aliases dereference to different descriptions of = the=20 resource.

2.2. The RDF Data Model

When publishing Linked Data on the Web, we represent information = about=20 resources using the Resource=20 Description Framework (RDF). RDF provides a data model that is = extremely=20 simple on the one hand but strictly tailored towards Web architecture on = the=20 other hand.

In RDF, a description of a resource is represented as a number of=20 triples. The three parts of each triple are called its=20 subject, predicate, and object. A triple = mirrors the=20 basic structure of a simple sentence, such as this one:

  =
Chris     has the email address    =
chris@bizer.de .

(subject)        (predicate)            =
(object)

The subject of a triple is the URI identifying the described = resource. The=20 object can either be a simple literal value, like a string, = number, or=20 date; or the URI of another resource that is somehow related to the = subject. The=20 predicate, in the middle, indicates what kind of relation exists between = subject=20 and object, e.g. this is the name or date of birth (in the case of a = literal),=20 or the employer or someone the person knows (in the case of another = resource).=20 The predicate is a URI too. These predicate URIs come from=20 vocabularies, collections of URIs that can be used to represent = information about a certain domain. Please refer to Section=20 4 for more information about which vocabularies to use in a Linked = Data=20 context.

Some people like to imagine a set of RDF triples as an RDF graph. The = URIs=20 occurring as subject and object URIs are the nodes in the graph, and = each triple=20 is a directed arc (arrow) that connects the subject to the object.

Two principal types of RDF triples can be = distinguished,=20 Literal Triples and RDF Links:

Literal Triples
have an RDF literal such as a string, number, or date as the = object.=20 Literal triples are used to describe the properties of resources. For=20 instance, literal triples are used to describe the name or date of = birth of a=20 person.=20
RDF Links
represent typed links between two resources. RDF links consist of = three=20 URI references. The URIs in the subject and the object position of the = link=20 identify the interlinked resources. The URI in the predicate position = defines=20 the type of the link. For instance, an RDF link can state that a = person is=20 employed by an organization. Another RDF link can state that = the=20 persons knows certain other people.=20

    RDF links are the foundation for the Web of Data. Dereferencing the = URI=20 that appears as the destination of a link yields a description of the = linked=20 resource. This description will usually contain additional RDF links = which=20 point to other URIs that in turn can also be dereferenced, and so on. = This is=20 how individual resource descriptions are woven into the Web of Data. = This is=20 also how the Web of Data can be navigated using a Linked Data browser = or=20 crawled by the robot of a search engine.

    Let's take an RDF browser like Disco or Tabulator as an example. = The surfer=20 uses the browser to display information about Richard from his FOAF = profile.=20 Richard has identified himself with the URI http://richard.cygania= k.de/foaf.rdf#cygri.=20 When the surfer types this URI into the navigation bar, the browser=20 dereferences this URI over the Web, asking for content type=20 application/rdf+xml and displays the retrieved = information (click=20 here to have Disco do this). In his profile, Richard has stated = that he is=20 based near Berlin, using the DBpedia URI http://www4.wiwiss.fu-berlin.de/rdf_browse= r/?browse_uri=3Dhttp%3A//dbpedia.org/resource/Berlin=20 as URI alias for the non-information resource Berlin. As the surfer is = interested in Berlin, he instructs the browser to dereference this URI = by=20 clicking on it. The browser now dereferences this URI asking for=20 application/rdf+xml.

    3D"Dereferencing

    After being redirected with a HTTP 303 response code, the browser = retrieves=20 an RDF graph describing Berlin in more detail. A part of this graph is = shown=20 below. The graph contains a literal triple stating that Berlin has = 3.405.259=20 inhabitants and another RDF link to a resource representing a list of = German=20 cities.

    3D"Dereferencing

    As both RDF graphs share the URI http://dbpedia.org/resource/B= erlin,=20 they naturally merge together, as shown below.

    3D"Dereferencing

    The surfer might also be interested in other German cities. = Therefore he=20 lets the browser dereference the URI identifying the list. The = retrieved RDF=20 graph contains more RDF links to German cities, for instance, Hamburg = and=20 M=C3=BCnchen as shown below.

    3D"Dereferencing

    Seen from a Web perspective, the most valuable RDF links are those = that=20 connect a resource to external data published by other data sources, = because=20 they link up different islands of data into a Web. Technically, such = an=20 external RDF link is a RDF triple which has a subject URI from one = data source=20 and an object URI from another data source. The box below contains = various=20 external RDF links taken from different data sources on the Web.

    Examples of External RDF Links

    # Two RDF links =
taken from DBpedia

<http://dbpedia.org/resource/Berlin>

    owl:sameAs <http://sws.geonames.org/2950159/> . =20

<http://dbpedia.org/resource/Tim_Berners-Lee>

    owl:sameAs =
<http://www4.wiwiss.fu-berlin.de/dblp/resource/person/100007> .=20



# RDF links taken from Tim Berners-Lee's FOAF profile

<http://www.w3.org/People/Berners-Lee/card#i>

    owl:sameAs <http://dbpedia.org/resource/Tim_Berners-Lee> ;

    foaf:knows <http://www.w3.org/People/Connolly/#me> .



# RDF links taken from Richard Cyganiaks's FOAF profile

<http://richard.cyganiak.de/foaf.rdf#cygri>

    foaf:knows <http://www.w3.org/People/Berners-Lee/card#i> ;

    foaf:topic_interest <http://dbpedia.org/resource/Semantic_Web> =
.

    Benefits of using the RDF Data Model in the Linked Data = Context

    The main benefits of using the RDF data model in a Linked Data = context are=20 that:

    • Clients can look up every URI in an RDF graph over the Web to = retrieve=20 additional information.=20
    • Information from different sources merges naturally.=20
    • The data model enables you to set RDF links between data from = different=20 sources.=20
    • The data model allows you to represent information that is = expressed=20 using different schemata in a single model.=20
    • Combined with schema languages such as RDF-S or OWL, the data model = allows you=20 to use as much or as little structure as you need, meaning that you = can=20 represent tightly structured data as well as semi-structured data. =

    RDF Features Best Avoided in = the Linked=20 Data Context

    In order to make it easier for clients to merge and query your = data, we=20 recommend not to use the full expressivity of the RDF data model, but = a subset=20 of the RDF features. Especially:

    • We discourage the use of blank=20 nodes. It is impossible to set external RDF links to a blank = node, and=20 merging data from different sources becomes much more difficult when = blank=20 nodes are used. Therefore, all resources of any importance should be = named=20 using URI references. Note that the current FOAF = specification has=20 also dropped blank nodes in favour of URI references (see = rdf:about=3D"#me" in=20 their example, and Tim Berners-Lee's Give yourself = a URI=20 post on the topic).=20
    • We discourage the use of RDF=20 reification as the semantics of reification are unclear and as = reified=20 statements are rather cumbersome to query with the SPARQL query = language.=20 Metadata can be attached to the information resource instead, as = explained=20 in Section=20 5.=20
    • You should think twice before using RDF = collections or RDF containers = as they do=20 not work well together with SPARQL. Does = your=20 application really need a collection or a container or can the = information=20 also be expressed using multiple triples having the same predicate? = The=20 second option makes SPARQL queries straight forward.

    3. Choosing URIs

    Resources are named with URI references. When publishing Linked = Data, you=20 should devote some effort to choosing good URIs for your = resources.

    On the one hand, they should be good names that other = publishers=20 can use confidently to link to your resources in their own data. On = the other=20 hand, you will have to put technical infrastructure in place to make = them=20 dereferenceable, and this may put some constraints on what = you can=20 do.

    This section lists, in loose order, some things to keep in = mind.

    • Use HTTP URIs for everything. The http:// scheme is the = only=20 URI scheme that is widely supported in today's tools and = infrastructure. All=20 other schemes require extra effort for resolver web services, = dealing with=20 identifier registrars, and so on. The arguments in favour of using = HTTP are=20 discussed in several places, e.g. in Names = and=20 addresses by Norman Walsh, and URNs,=20 Namespaces and Registries (draft) by the W3C TAG.=20
    • Define your URIs in an HTTP namespace under your control, where = you=20 actually can make them dereferenceable. Do not define them in = someone else's=20 namespace.=20
    • Keep implementation cruft out of your URIs. Short, mnemonic = names are=20 better. Consider these two examples:=20
      • http://dbpedia.org/resource/Berlin=20 =
      • http://www4.wiwiss.fu-berlin.de:2020/demos/dbpedia/cgi-bin/resources.= php?id=3DBerlin=20
    • Try to keep your URIs stable and persistent. Changing your URIs = later=20 will break any already-established links, so it is advisable to = devote some=20 extra thought to them at an early stage.=20
    • The URIs you can choose are constrained by your technical = environment.=20 If your server is called demo.serverpool.wiwiss.example.org and = getting=20 another domain name is not an option, then your URIs will have to = begin with=20 http://demo.serverpool.wiwiss.example.org/. If you cannot run your = server on=20 port 80, then your URIs may have to begin with=20 http://demo.serverpool.example.org:2020/. If possible you should = clean up=20 those URIs by adding some URI = rewriting=20 rules to the configuration of your webserver.=20
    • We often end up with three URIs related to a single = non-information=20 resource:=20
      1. an identifier for the resource,=20
      2. an identifier for a related information resource suitable to = HTML=20 browsers (with a web page representation),=20
      3. an identifier for a related information resource suitable to = RDF=20 browsers (with an RDF/XML representation).
      Here are = several ideas=20 for choosing these related URIs:=20
      1. http://dbpedia.org/resource/Berlin=20
      2. http://dbpedia.org/page/Berlin=20
      3. http://dbpedia.org/data/Berlin
      Or:=20
      1. http://id.dbpedia.org/Berlin=20
      2. http://pages.dbpedia.org/Berlin=20
      3. http://data.dbpedia.org/Berlin
      Or:=20
      1. http://dbpedia.org/Berlin=20
      2. http://dbpedia.org/Berlin.html=20
      3. http://dbpedia.org/Berlin.rdf
    • You will often need to use some kind of primary key inside your = URIs, to=20 make sure that each one is unique. If you can, use a key that is = meaningful=20 inside your domain. For example, when dealing with books, making the = ISBN=20 number part of the URI is better than using the primary key of an = internal=20 database table. This also makes equivalence mining to derive=20 RDF links easier.

    Examples of cool URIs:

    • http://dbpedia.org/resource/B= oston=20
    • http= ://www4.wiwiss.fu-berlin.de/bookmashup/books/006251587X=20

    See also:

    4. Which vocabularies should I use to = represent=20 information?

    In order to make it as easy as possible for client applications to = process=20 your data, you should reuse terms from well-known vocabularies = wherever=20 possible. You should only define new terms yourself if you can not = find=20 required terms in existing vocabularies.

    4.1 Reusing existing terms

    A set of well-known vocabularies has evolved in the Semantic Web = community.=20 Please check whether your data can be represented using terms from = these=20 vocabularies before defining any new terms:

    A more extensive list=20 of well-known vocabularies is maintained by the W3C=20 SWEO Linking Open Data community project in the ESW Wiki. A = listing of the=20 100=20 most common RDF namespaces (August 2006) is provided by UMBC = eBiquity=20 Group.

    It is common practice to mix terms from different vocabularies. We=20 especially recommend the use of rdfs:label and = foaf:depiction = properties=20 whenever possible as these terms are well-supported by client=20 applications.

    If you need URI references for geographic places, research areas, = general=20 topics, artists, books or CDs, you should consider using URIs from = data=20 sources within the W3C=20 SWEO Linking Open Data community project, for instance Geonames, DBpedia, Musicbrainz,=20 dbtune or the RDF=20 Book Mashup. The two main benefits of using URIs from these data = sources=20 are:

    1. The URIs are dereferenceable, meaning that a description of the = concept=20 can be retrieved from the Web. For instance, using the DBpedia URI = http://dbpedia.org/page/Doom = to=20 identify the computer game Doom gives you an extensive description = of the=20 game including abstracts in 10 different languages and various=20 classifications.=20
    2. The URIs are already linked to URIs from other data sources. For = instance, you can navigate from the DBpedia URI http://dbpedia.org/resource/B= erlin=20 to data about Berlin provided by Geonames and EuroStat. = Therefore, by=20 using concept URIs form these datasets, you interlink your data with = a rich=20 and fast-growing network of other data sources.

    A more extensive list=20 of datasets with dereferenceable URIs is maintained by the Linking = Open=20 Data community project in the ESW Wiki.

    Good examples of how terms from different well-known vocabularies = are mixed=20 in one document and how existing concept URIs are reused are given by = the FOAF=20 profiles of Tim=20 Berners-Lee and Ivan=20 Herman.

    4.2 How to define terms?

    When you cannot find good existing vocabularies that cover all the = classes=20 and properties you need, then you have to define your own terms. = Defining new=20 terms is not hard. RDF classes and properties are resources = themselves,=20 identified by URIs, and published on the Web, so everything we said = about=20 publishing Linked Data applies to them as well.

    You can define vocabularies using the RDF Vocabulary Description = Language=20 1.0: RDF Schema or the Web=20 Ontology Language (OWL). For introductions to RDFS, see the section on = Vocabulary=20 Documentation in the SWAP Tutorial, and the very detailed RDF Schema = section of=20 the RDF Primer. OWL is introduced in the OWL Overview.

    Here we give some guidelines for those who are familiar with these=20 languages:

    1. Do not define new vocabularies from scratch, = but=20 complement existing vocabularies with additional terms (in your own=20 namespace) to represent your data as required.=20
    2. Provide for both humans and machines. At this = stage in=20 the development of the Web of Data, more people will be coming = across your=20 code than machines, even though the Web of Data is meant for = machines in the=20 first instance. Don't forget to add prose, e.g. rdfs:comments = for=20 each term invented. Always provide a label for each term using the = rdfs:label = property.=20
    3. Make term URIs dereferenceable. It is essential = that=20 term URIs are dereferenceable so that clients can look up the = definition of=20 a term. Therefore you should make term URIs dereferenceable = following the W3C Best Practice = Recipes for=20 Publishing RDF Vocabularies.=20
    4. Make use of other people's terms. Using other = people's=20 terms, or providing mappings to them, helps to promote the level of = data=20 interchange on the Web of Data, in the same way that hypertext links = built=20 the traditional document Web. Common properties for providing such = mappings=20 are rdfs:subClassOf or=20 rdfs:subProper= tyOf.=20
    5. State all important information explicitly. For = example, state all ranges and domains explicitly. Remember: humans = can often=20 do guesswork, but machines can't. Don't leave important information = out!=20
    6. Do not create over-constrained, brittle models; leave = some=20 flexibility for growth. For instance, if you use = full-featured OWL=20 to define your vocabulary, you might state things that lead to = unintended=20 consequences and inconsistencies when somebody else references your = term in=20 a different vocabulary definition. Therefore, unless you know = exactly what=20 you are doing, use RDF-Schema to define vocabularies.

    The following example contains a definition of a class and a = property=20 following the rules above. The example uses the Turtle syntax. = Namespace=20 declarations are omitted.

    # Definition of the class =
"Lover"

<http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LoveVocabulary#Lover&=
gt;=20

    rdf:type rdfs:Class ;

    rdfs:label "Lover"@en ;

    rdfs:label "Liebender"@de ;

    rdfs:comment "A person who loves somebody."@en ;

    rdfs:comment "Eine Person die Jemanden liebt."@de ;

    rdfs:subClassOf foaf:Person .



# Definition of the property "loves"

<http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LoveVocabublary#loves=
>=20

    rdf:type rdf:Property ;

    rdfs:label "loves"@en ;

    rdfs:label "liebt"@de ;

    rdfs:comment "Relation between a lover and a loved person."@en ;

    rdfs:comment "Beziehung zwischen einem Liebenden und einer geliebten =
Person."@de ;

    rdfs:subPropertyOf foaf:knows ;

    rdfs:domain =
<http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LoveVocabulary#Lover&=
gt; ;

    rdfs:range foaf:Person .

    Note that the terms are defined in a namespace that is controlled = by Chris=20 Bizer and that they are related to the FOAF vocabulary using=20 rdfs:subPropertyOf and rdfs:subClassOf links.

    5. What should I return as RDF description for a=20 URI?

    So, assuming we have expressed all our data in RDF triples: What = triples=20 should go into the RDF representation that is returned (after a 303 = redirect)=20 in response to dereferencing a URI identifying a non-information = resource?

    1. The description: The representation should = include all=20 triples from your dataset that have the resource's URI as the = subject. This=20 is the immediate description of the resource.=20
    2. Backlinks: The representation should also = include all=20 triples from your dataset that have the resource's URI as the = object. This=20 is redundant, as these triples can already be retrieved from their = subject=20 URIs, but it allows browsers and crawlers to traverse links in = either=20 direction.=20
    3. Related descriptions: You may include any = additional=20 information about related resources that may be of interest in = typical usage=20 scenarios. For example, you may want to send information about the = author=20 along with information about a book, because many clients interested = in the=20 book may also be interested in the author. A moderate approach is=20 recommended, returning a megabyte of RDF will be considered = excessive in=20 most cases.=20
    4. Metadata: The = representation=20 should contain any metadata you want to attach to your published = data, such=20 as a URI identifying the author and licensing information. These = should be=20 recorded as RDF descriptions of the information resource = that=20 describes a non-information resource; that is, the subject of the = RDF=20 triples should be the URI of the information resource. Attaching=20 meta-information to that information resource, rather than attaching = it to=20 the described resource itself or to specific RDF statements about = the=20 resource (as with RDF reification) plays nicely together with using = Named Graphs and the SPARQL query = language in=20 Linked Data client applications. In order to enable information = consumers to=20 use your data under clear legal terms, each RDF document should = contain a=20 license under which the content can be used. Please refer to Creative Commons or Talis for standard = licenses).=20
    5. Syntax: There are various ways to serialize RDF = descriptions. Your data source should at least provide RDF = descriptions as=20 RDF/XML = which is the=20 only official syntax for RDF. As RDF/XML is not very human-readable, = your=20 data source could additionally provide Turtle = descriptions when=20 asked for MIME-type application/x-turtle. In situations = where=20 your think people might want to use your data together with XML = technologies=20 such as XSLT or XQuery, you might additionally also serve a TriX=20 serialization, as TriX works better with these technologies than = RDF/XML.=20

    In the following, we give two examples of RDF descriptions = following the=20 rules above. The first example covers the case of an authoritative=20 representation served by a URI owner. The second example covers the = case of=20 non-authoritative information served by somebody who is not the owner = of the=20 described URI.

    1. Authoritative Description

    The following example shows parts of the Turtle = representation of the=20 information resource http://dbpedia.org/data/Alec= _Empire.=20 The resource describes the German musician Alec Empire. Using Web Architecture = terminology, it is a=20 authoritative description as it is served after a 303 redirect by the = owner of=20 the URI http://dbpedia.org/resou= rce/Alec_Empire.=20 Namespace declarations are omitted:

    # Metadata and =
Licensing Information

<http://dbpedia.org/data/Alec_Empire>

    rdfs:label "RDF description of Alec Empire" ;

    rdf:type foaf:Document ;

    dc:publisher <http://dbpedia.org/resource/DBpedia> ;

    dc:date "2007-07-13"^^xsd:date ;

    dc:rights

        <http://en.wikipedia.org/wiki/WP:GFDL> .

=20

# The description

<http://dbpedia.org/resource/Alec_Empire>=20

    foaf:name "Empire, Alec" ;

    rdf:type foaf:Person ;

    rdf:type <http://dbpedia.org/class/yago/musician> ;

    rdfs:comment

        "Alec Empire (born May 2, 1972) is a German musician who is =
..."@en ;

    rdfs:comment

        "Alec Empire (eigentlich Alexander Wilke) ist ein deutscher =
Musiker. ..."@de ;

    dbpedia:genre <http://dbpedia.org/resource/Techno> ;

    dbpedia:associatedActs =
<http://dbpedia.org/resource/Atari_Teenage_Riot> ;

    foaf:page <http://en.wikipedia.org/wiki/Alec_Empire> ;

    foaf:page <http://dbpedia.org/page/Alec_Empire> ;=20

    rdfs:isDefinedBy <http://dbpedia.org/data/Alec_Empire> ;

    owl:sameAs =
<http://zitgist.com/music/artist/d71ba53b-23b0-4870-a429-cce6f345763b&=
gt; .

=20

# Backlinks

<http://dbpedia.org/resource/60_Second_Wipeout>

    dbpedia:producer <http://dbpedia.org/resource/Alec_Empire> .

<http://dbpedia.org/resource/Limited_Editions_1990-1994>

    dbpedia:artist <http://dbpedia.org/resource/Alec_Empire> =
.

    Note that the description contains an owl:sameAs Link stating that = http://dbpedia.org/resou= rce/Alec_Empire=20 and http://zitgist.com/music/artist/d71ba53b-23b0-4870-a429-cce6f345763b= =20 are URI aliases referring to the same non-information resource.

    In order to make it easier for Linked Data clients to understand = the=20 relation between http://dbpedia.org/resou= rce/Alec_Empire,=20 http://dbpedia.org/data/Alec= _Empire,=20 and http://dbpedia.org/page/Alec= _Empire,=20 the URIs can be interlinked using the rdfs:isDefinedBy= =20 and the foaf:page = property=20 as recommended in the C= ool=20 URI paper.

    2. Non-Authoritative Description

    The following example shows the Turtle = representation of the=20 information resource http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/Link= edDataTutorial/ChrisAboutRichard=20 which is published by Chris to provide information about Richard. Note = that in=20 Turtle, the syntactic shortcut <> can be used to refer = to the=20 URI of the current document. Richard owns the URI http://richard.cygania= k.de/foaf.rdf#cygri=20 and is therefore the only person who can provide an authoritative = description=20 for this URI. Thus using Web = Architecture terminology, Chris is providing non-authoritative = information=20 about Richard.

    # Metadata and Licensing =
Information

<>

    rdf:type foaf:Document ;

    dc:author <http://www.bizer.de#chris> ;

    dc:date "2007-07-13"^^xsd:date ;

    cc:license <http://web.resource.org/cc/PublicDomain> .

=20

# The description

<http://richard.cyganiak.de/foaf.rdf#cygri>=20

    foaf:name "Richard Cyganiak" ;

    foaf:topic_interest =
<http://dbpedia.org/resource/Category:Databases> ;

    foaf:topic_interest <http://dbpedia.org/resource/MacBook_Pro> =
;

    rdfs:isDefinedBy <http://richard.cyganiak.de/foaf.rdf> ;

    rdf:seeAlso <> .

=20

# Backlinks

<http://www.bizer.de#chris>

    foaf:knows <http://richard.cyganiak.de/foaf.rdf#cygri> .

<http://www4.wiwiss.fu-berlin.de/is-group/resource/projects/Project3&g=
t;

    doap:developer <http://richard.cyganiak.de/foaf.rdf#cygri> =
.

    6. How to set RDF Links to other Data = Sources

    RDF links enable Linked Data browsers and crawlers to navigate = between data=20 sources and to discover additional data.

    The application domain will determine which RDF properties are used = as=20 predicates. For instance, commonly used linking properties in the = domain of=20 describing people are foaf:knows, foaf:based_near = and foaf:topic_intere= st=20 . Examples of combining these properties with property values from DBpedia, the DBLP bibliography and the RDF=20 Book Mashup are found in Tim = Berners-Lee's and Ivan Herman's FOAF=20 profiles.

    It is common practice to use the owl:sameAs = property for=20 stating that another data source also provides information about a = specific=20 non-information resource. An owl:sameAs link indicates that two URI = references=20 actually refer to the same thing. Therefore, owl:sameAs is used to map = between=20 different URI aliases (see Section=20 2.1). Examples of using owl:sameAs to indicate that two URIs talk = about=20 the same thing are again Tim's FOAF = profile which=20 states that http://www.w3.org/Pe= ople/Berners-Lee/card#i=20 identifies the same resource as http://www4.wiwiss.fu-berlin.de/bookmashup/persons/Tim+Berners-Lee= =20 and http= ://www4.wiwiss.fu-berlin.de/dblp/resource/person/100007.=20 Other usage examples are found in DBpedia and the Berlin=20 DBLP server.

    RDF links can be set manually, which is usually the case for FOAF = profiles,=20 or they can be generated by automated linking algorithms. This = approach is=20 usually taken to interlink large datasets.

    6.1 Setting RDF Links Manually

    Before you can set RDF links manually, you need to know something = about the=20 datasets you want to link to. In order to get an overview of different = datasets that can be used as linking targets please refer to the Linking=20 Open Data Dataset list. Once you have identified particular = datasets as=20 suitable linking targets, you can manually search in these for the URI = references you want to link to. If a data source doesn't provide a = search=20 interface, for instance a SPARQL endpoint or a HTML Web form, you can = use=20 Linked Data browsers like Tabulator or Disco to=20 explore the dataset and find the right URIs.

    You can also use services such as Uriqr or=20 Sindice to search for existing = URIs and=20 to choose the most popular one if you find several candidates. Uriqr = allows=20 you to find URIs for people you know, simply by searching for their = name.=20 Results are ranked according to how heavily a particular URI is = referenced in=20 RDF documents on the Web, but you will need to apply a little bit of = human=20 intelligence in picking the most appropriate URI to use. Sindice = indexes the=20 Semantic Web and can tell you which sources mention a certain URI. = Therefore=20 the service can help you to choose the most popular URI for a concept. =

    Remember that data sources might use HTTP-303 redirects to redirect = clients=20 from URIs identifying non-information resources to URIs identifying=20 information resources that describe the non-information resources. In = this=20 case, make sure that you link to the URI reference identifying the=20 non-information resource, and not the document about it.

    6.2 Auto-generating RDF Links

    The approach described above does not scale to large datasets, for = instance=20 interlinking 70,000 places in DBpedia=20 to their corresponding entries in Geonames. In such cases = it makes=20 sense to use an automated record linkage algorithm to generate RDF = links=20 between data sources.

    Record = Linkage is=20 a well-known problem in the databases community. The Linking Open Data = Project=20 collects material related to using record linkage algorithms in the = Linked=20 Data context on the Equivalence=20 Mining wiki page.

    There is still a lack of good, easy-to-use tools to auto-generate = RDF=20 links. Therefore it is common practice to implement dataset-specific = record=20 linkage algorithms to generate RDF links between data sources. In the=20 following we describe two classes of such algorithms:

    Pattern-based Algorithms

    In various domains, there are generally accepted naming schemata. = For=20 instance, in the publication domain there are ISBN numbers, in the = financial=20 domain there are ISIN=20 identifiers. If these identifiers are used as part of HTTP URIs = identifying=20 particular resources, it is possible to use simple pattern-based = algorithms to=20 generate RDF links between these resources.

    An example of a data source using ISBN numbers as part of its URIs = is the=20 RDF=20 Book Mashup, which for instance uses the URI http= ://www4.wiwiss.fu-berlin.de/bookmashup/books/006251587X=20 to identify the book 'Harry Potter and the Half-blood Prince'. Having = the ISBN=20 number in these URIs made it easy for DBpedia to generate owl:sameAs = links=20 between books within DBpedia and the Book Mashup. DBpedia uses the = following=20 pattern-based algorithm:

    1. Iterate over all books in DBpedia that have an ISBN number.=20
    2. Create a owl:sameAs link between the URI of a book in DBpedia = and the=20 corresponding Book Mashup URI using the following pattern for Book = Mashup=20 URIs: http://www4.wiwiss.fu-berlin.de/bookmashup/books/{ISBN = number}.=20

    Running this algorithm against all books in DBpedia resulted in 9000 RDF = links=20 which were merged with the DBpedia dataset. For instance, the = resulting link=20 for the Harry Potter book is:

    <http://dbpedia.org/resource/Harry_Potter_and_the_Half-Blood_Prince=
>

    owl:sameAs <http=
://www4.wiwiss.fu-berlin.de/bookmashup/books/006251587X>

    More complex property-based Algorithms

    In cases where no common identifiers across datasets exist, it is = necessary=20 to employ more complex property-based linkage algorithms. We outline = two=20 algorithms below:

    1. Interlinking DBpedia and Geonames. Information = about=20 geographic places appear in the Geonames database as = well as in=20 DBpedia. In order to = identify places=20 that appear in both datasets, the Geonames team uses a=20 property-based heuristic that is based on article title together = with=20 semantic information like latitude and longitude, but also country,=20 administrative division, feature type, population and categories. = Running=20 this heuristic against both data sources resulted in 70500 = correspondences=20 which were merged as Geonames = owl:sameAs=20 links with the DBpedia dataset as well as with the Geonames = dataset.=20
    2. Interlinking Jamendo and MusicBrainz. Please = refer to=20 Yves=20 Raimond's blog post about his approach to interlinking Jamendo = and=20 MusicBrainz.

    7. Recipes for Serving Information as Linked = Data

    This chapter provides practical recipes for publishing different = types of=20 information as Linked Data on the Web. Information has to fulfill the=20 following minimal requirements to be considered "published as Linked = Data on=20 the Web":

    • Things must be identified with dereferenceable HTTP URIs.=20
    • If such a URI is dereferenced asking for the MIME-type=20 application/rdf+xml, a data source must return an = RDF/XML=20 description of the identified resource.=20
    • URIs that identify non-information resources must be set up in = one of=20 these ways: Either the data source must return an HTTP response = containing=20 an HTTP 303 redirect to an information resource describing = the=20 non-information resource, as discussed earlier in this document. Or = the URI=20 for the non-information resource must be formed by taking the URI of = the=20 related information resource and appending a fragment = identifier=20 (e.g. #foo), as discussed in Recipe=20 7.1.=20
    • Besides RDF links to resources within the same data source, RDF=20 descriptions should also contain RDF links to resources provided by = other=20 data sources, so that clients can navigate the Web of Data as a = whole by=20 following RDF links.

    Which of the following recipes fits your needs depends on various = factors,=20 such as:

    • How much data do you want to serve? If you only = want to=20 publish several hundred RDF triples, you might want to serve them as = a=20 static RDF file using Recipe=20 7.1. If your dataset is larger, you might want to load it into a = proper=20 RDF store and put the Pubby=20 Linked Data interface in front of it as described in Recipe=20 7.3.=20
    • How is your data currently stored? If your = information=20 is stored in a relational database, you can use D2R=20 Server as described in Recipe=20 7.2. If the information is available through an API, you might = implement=20 a wrapper around this API as described in Recipe=20 7.4. If your information is represented in some other format = such as=20 Microsoft Excel, CSV or BibTeX, you will have to convert it to RDF = first as=20 described in Recipe=20 7.3.=20
    • How often does your data change? If your data = changes=20 frequently, you might prefer approaches which generate RDF views on = your=20 data, such as D2R Server (Recipe=20 7.2), or wrappers (Recipe=20 7.4).

    After you have published your information as Linked Data, you = should ensure=20 that there are external RDF links pointing at URIs from your dataset, = so that=20 RDF browser and crawlers can find your data. There are two basic ways = of doing=20 this:

    1. Add several RDF links to your FOAF profile that point at URIs=20 identifying central resources within your dataset. Assuming that = somebody=20 else in the world knows you and references your FOAF profile, your = new=20 dataset is now reachable by following RDF links.=20
    2. Convince the owners of related data sources to auto-generate=20 RDF links to URIs from your dataset. Or to make it easier for = the owner=20 of the other dataset, create the RDF links yourself and send them to = her so=20 that she just has to merge them with her dataset. A project that is=20 extremely open to setting RDF links to other data sources is the DBpedia community project. = Just announce=20 your data source on the = DBpedia=20 mailing list or send a set of RDF links to the list.

    7.1 Serving Static RDF Files

    The simplest way to serve Linked Data is to produce static RDF = files, and=20 upload them to a web server. This approach is typically chosen in = situations=20 where

    • the RDF files are created manually, e.g. when publishing = personal FOAF files or RDF = vocabularies or=20
    • the RDF files are generated or exported by some piece of = software that=20 only outputs to files.

    There are several issues to consider:

    Configuring the server for correct MIME types=20

    Older web servers are sometimes not yet configured to return the = correct=20 MIME type when serving RDF/XML files. Linked Data browsers may not = recognize=20 RDF data served in this way because the server claims that it is not = RDF/XML=20 but plain text. To find out if your server needs fixing, use cURL tool and the steps outlined = in this=20 tutorial.

    How to fix this depends on the web server. In the case of Apache, = add=20 this line to the httpd.conf configuration file, or to an=20 .htaccess file in the web server's directory where the RDF = files=20 are placed:

    AddType application/rdf+xml .rdf

    This tells Apache to serve files with an .rdf extension = using=20 the correct MIME type for RDF/XML, application/rdf+xml. = Note this=20 means you have to name your files with the .rdf = extension.

    While you're at it, you can also add these lines to make your web = server=20 ready for other RDF syntaxes (N3 and Turtle):

    AddType =
text/rdf+n3;charset=3Dutf-8 .n3

AddType application/x-turtle .ttl
    File size=20

    On the document Web, it's considered bad form to publish huge = HTML pages,=20 because they load very slowly in browsers and consume unnecessary = bandwidth.=20 The same is true when publishing Linked Data: Your RDF files = shouldn't be=20 larger than, say, a few hundred kilobytes. If your files are larger = and=20 describe multiple resources, you should break them up into several = RDF=20 files, or use Pubby=20 as described in recipe 7.3 to serve them in chunks.

    When you serve multiple RDF files, make sure they are linked to = each=20 other through RDF triples that involve resources described in = different=20 files.

    Choosing URIs for non-information resources=20

    The static file approach doesn't support the 303 redirects = required for=20 the URIs of non-information resources. Fortunately there is another=20 standards-compliant method of naming non-information resources, = which works=20 very well with static RDF files, but has a downside we will discuss = later.=20 This method relies on hash URIs.

    When you serve a static RDF file at, say,=20 http://example.com/people.rdf, then you should name the=20 non-information resources described in the file by appending a = fragment=20 identifier to the file's URI. The identifier must be unique = within the=20 file. That way, you end up with URIs like this for your = non-information=20 resources:

    • http://example.com/people.rdf#alice=20
    • http://example.com/people.rdf#bob=20
    • http://example.com/people.rdf#charlie

    This works because HTTP clients dereference hash URIs by = stripping off=20 the part after the hash and dereferencing the resulting URI. A = Linked Data=20 browser will then look into the response (the RDF file in this = case), and=20 find triples that tell it more about the non-information resource, = achieving=20 an effect quite similar to the 303 redirect.

    The downside of this naming approach is that the URIs are not = very "cool"=20 according to the criteria set out in section=20 3. There's a reference to a specific representation format in = the=20 identifiers (the .rdf extension). And if you choose to = rename the=20 RDF file later on, or decide to split your data into several files, = then all=20 identifiers will change and existing links to them will break.

    That's why you should use this approach only if the overall = structure and=20 size of the dataset are unlikely to change much in the future, or as = a=20 quick-and-dirty solution for transient data where link stability = isn't so=20 important.

    Extending the recipe for 303 redirects and content negotiation=20

    This approach can be extended to use 303 redirects and even to = support=20 content negotiation, if you are willing to go through some extra = hoops.=20 Unfortunately this process is dependent on your web server and its=20 configuration. The W3C has published several recipes that show how = to do=20 this for the Apache web server: Best Practice Recipes = for=20 Publishing RDF Vocabularies. The document is officially targeted = at=20 publishers of RDF vocabularies, but the recipes work for other kinds = of RDF=20 data served from static files. Note that at the time of writing = there is=20 still an issue=20 with content negotiation in this document which might be solved = by=20 moving from Apache mod_rewrite to mod_negotiation.

    7.2 Serving Relational Databases

    If your data is stored in a relational database it is usually a = good idea=20 to leave it there and just publish a Linked Data view on your existing = database.

    A tool for serving Linked Data views on relational databases is D2R=20 Server. D2R server relies on a declarative mapping between the = schemata of=20 the database and the target RDF terms. Based on this mapping, D2R = Server=20 serves a Linked Data view on your database and provides a SPARQL = endpoint for=20 the database.

    3D"Architecture

    There are several D2R Servers online, for example Berlin DBLP = Bibliography=20 Server, Hannover DBLP = Bibliography=20 Server, http://www4.wiwiss.fu-= berlin.de/is-group/=20 or the EuroStat = Countries=20 and Regions Server.

    Publishing a relational database as Linked Data typically involves = the=20 following steps:

    1. Download and install the server software as described in the Quick=20 Start section of the D2R Server homepage.=20
    2. Have D2R Server auto-generate a D2RQ mapping from the schema of = your=20 database (see Quick=20 Start).=20
    3. Customize=20 the mapping by replacing auto-generated terms with terms from well-known=20 and publicly = accessible=20 RDF vocabularies.=20
    4. Add your new data source to the ESW Wiki datasets=20 list in the category Linked Data and SPARQL endpoint = list and=20 set several RDF links from your FOAF profile to the URIs of central=20 resources within your new data source so that crawlers can discover = your=20 data.

    Alternatively, you can also use:=20

    1. OpenLink=20 Virtuoso to publish your relational database as Linked Data.=20
      • Virtuoso=20 RDF Views =E2=80=93 Getting Started Guide on how to map your = relational=20 database to RDF and=20
      • Deploying=20 Linked Data on how to get URI dereferencing and content = negotiation=20 into place.
    2. Triplify, a small = plugin for=20 Web applications, which reveals the semantic structures encoded in=20 relational databases by making database content available as RDF, = JSON or=20 Linked Data.

    7.3 Serving other Types of = Information

    If your information is currently represented in formats such as = CSV,=20 Microsoft Excel, or BibTEX and you want to serve the information as = Linked=20 Data on the Web it is usually a good idea to do the following:

    • Convert your data into RDF using an RDFizing tool. There are two = locations where such tools are listed: ConverterToRdf = maintained=20 in the ESW Wiki, and RDFizers=20 maintained by the SIMILE team.=20
    • After conversion, store your data in a RDF repository. A list=20 of RDF repositories is maintained in the ESW Wiki.=20
    • Ideally the chosen RDF repository should come with a Linked Data = interface which takes care of making your data Web accessible. As = many RDF=20 repositories have not implemented Linked Data interfaces yet, you = can also=20 choose a repository that provides a SPARQL endpoint and put Pubby as a = Linked Data=20 interface in front of your SPARQL endpoint.

    The approach described above is taken by the DBpedia project, among others. = The project=20 uses PHP scripts to extract structured data from Wikipedia pages. This = data is=20 then converted to RDF and stored in a OpenLink = Virtuoso=20 repository which provides a SPARQL endpoint. In order to get a Linked = Data=20 view, Pubby is = put in=20 front of the SPARQL endpoint.

    If your dataset is sufficiently small = to fit=20 completely into the web server's main memory, then you can do without = the RDF=20 repository, and instead use Pubby's=20 conf:loadRDF option to load the RDF data from an RDF file = directly=20 into Pubby. This might be simpler, but unlike a real RDF repository, = Pubby=20 will keep everything in main memory and doesn't offer a SPARQL = endpoint.

    7.4 Implementing Wrappers around existing = Applications or=20 Web APIs

    Large numbers of Web applications have started to make their data = available=20 on the Web through Web APIs. Examples of data sources providing such = APIs=20 include eBay, = Amazon, = Yahoo, Google= and Google = Base. An more=20 comprehensive API list is found at Programmable Web. = Different APIs=20 provide diverse query and retrieval interfaces and return results = using a=20 number of different formats such as XML, JSON or ATOM. This leads to = three=20 general limitations of Web APIs:

    • their content can not be crawled by search engines=20
    • Web APIs can not be accessed using generic data browsers=20
    • Mashups are implemented against a fixed number of data sources = and can=20 not take advantage of new data sources that appear on the Web. =

    These limitations can be overcome by implementing Linked Data = wrappers=20 around APIs. In general, Linked Data wrappers do the following:

    1. They assign HTTP URIs to the non-information resources about = which the=20 API provides data.=20
    2. When one of these URIs is dereferenced asking for=20 application/rdf+xml, the wrapper rewrites the client's = request=20 into a request against the underlying API.=20
    3. The results of the API request are transformed to RDF and sent = back to=20 the client.

    Examples of Linked Data Wrappers include:

    The RDF Book Mashup=20

    The RDF=20 Book Mashup makes information about books, their authors, = reviews, and=20 online bookstores available as RDF on the Web. The RDF Book Mashup = assigns a=20 HTTP URI to each book that has an ISBN number. Whenever one of these = URIs is=20 dereferenced, the Book Mashup requests data about the book, its = author as=20 well as reviews and sales offers from the Amazon = API=20 and the Google Base=20 API. This data is then transformed into RDF and returned to the=20 client.

    3D"Architecture

    The RDF Book Mashup is implemented as a sma= ll=20 PHP script which can be used as a template for implementing = similar=20 wrappers around other Web APIs. More information about the Book = Mashup and=20 the relationship of Web APIs to Linked Data in general is available = in The=20 RDF Book Mashup: From Web APIs to a Web of Data (Slides).

    SIOC Exporters for WordPress, Drupal, phpBB=20
    The SIOC project has = developed=20 Linked Data wrappers for several popular blogging engines, content=20 management systems and discussion forums. See SIOC Exporters for an = up-to-date list of their wrappers. The project also provides a PHP = Export=20 API which enables developers to create further SIOC export tools = without=20 the need to get into technical details about how information is = represented=20 in RDF.=20
    Virtuoso Sponger=20
    Virtuoso=20 Sponger is a framework for developing Linked Data wrappers = (called=20 cartridges) around different types of data sources. Data sources can = range=20 from HTML pages containing structured data to Web APIs. See Injecting = Facebook=20 Data into the Semantic Data Web for a demo on how Sponger is = used to=20 generate a Linked Data view on Facebook.

    8. Testing and Debugging Linked Data

    After you have published information as Linked Data on the Web, you = should=20 test whether your information can be accessed correctly.

    An easy way of testing is to put several of your URIs into the Vapour Linked validation = service,=20 which generates a detailed report on how your URIs react to different = HTTP=20 requests.

    Beside of this, it is also important to see whether your = information=20 displays correctly in different Linked Data browsers and whether the = browsers=20 can follow RDF links within your data. Therefore, take several URIs = from your=20 dataset and enter them into the navigation bar of the following Linked = Data=20 browsers:

    • Tabulator. If = Tabulator=20 takes a long time before it displays your information, then this is = an=20 indicator that your RDF graphs are too big and should be split up. = Tabulator=20 also does some basic inferencing over Web data, without doing = consistency=20 checks. Therefore, if Tabulator behaves strangely, this might = indicate=20 issues with rdfs:subClassOf=20 and rdfs:subProper= tyOf=20 declarations in the RDFS and OWL schemas used in your data.=20
    • Marbles=20
    • OpenLink= RDF=20 Browser
    • Disco.=20 The Disco browser uses a 2 second time-out when retrieving data from = the=20 Web. Therefore, it might be an indicator that your server is too = slow, if=20 Disco does not display your data correctly.

    If you run into problems, you should do the following:

    1. Test with cURL whether dereferencing your URIs leads to correct = HTTP=20 responses. Richard Cyganiak has published a tutorial on Debugging=20 Semantic Web sites with cURL which leads you through the = process.=20
    2. Use the W3C's RDF = Validation=20 service to make sure that your service provides valid RDF/XML. =

    If you can not figure out yourself what is going wrong, ask on the = Linking= Open=20 Data mailing list for help.

    9. Discovering Linked Data on the Web

    The standard way of discovering Linked Data on the Web is by=20 following RDF Links within data the client already = knows. In=20 order to further ease discovery, information providers can decide to = support=20 additional discovery mechanisms:

    Ping the Semantic Web=20
    Ping the Semantic = Web is a=20 registry service for RDF documents on the Web, which is used by = several=20 other services and client applications. Therefore, you can improve = the=20 discoverability of your data by registering your URIs with Ping The = Semantic=20 Web.=20
    HTML Link Auto-Discovery=20

    It also makes sense in many cases to set links from existing = webpages to=20 RDF data, for instance from your personal home page to your FOAF = profile.=20 Such links can be set using the HTML <link> = element in=20 the <head> of your HTML page.

    <link =
rel=3D"alternate" type=3D"application/rdf+xml" =
href=3D"link_to_the_RDF_version" />

    HTML <link> elements are used by browser = extensions,=20 like Piggybank = and Semantic Radar, to = discover RDF=20 data on the Web.

    Semantic Web Crawling: a Sitemap Extension=20
    Semantic Web=20 Crawling: a Sitemap Extension. The sitemap extension allows Data = publishers can state where RDF is located and which alternative = means are=20 provided to access it (Linked Data, SPARQL endpoint, RDF dump). = Semantic Web=20 clients and Semantic Web crawlers can use this information to access = RDF=20 data in the most efficient way for the task they have to perform. =
    =20
    Dataset List on the ESW Wiki=20
    In order to make it easy not only for machines but also for = humans to=20 discover your data, you should add your dataset to the Dataset=20 List on the ESW Wiki. Please include some example URIs of = interesting=20 resources from your dataset, so that people have starting points for = browsing.

    10. Further Reading and Tools

    For more information about Linked Data please refer to:

    Overview Material and Theoretical Background

    Technical Documentation

    • Leo Sauermann et al.: Cool = URIs for=20 the Semantic Web (tutorial on URI dereferencing and = content-negotiation)=20
    • Alistair Miles et al.: Best Practice Recipes = for=20 Publishing RDF Vocabularies (W3C draft on serving RDF = vocabularies=20 according to the Linked Data principles)=20
    • Richard Cyganiak: Debugging=20 Semantic Web sites with cURL (tutorial on how to test Semantic = Web=20 sites)=20
    • Semantic = Web=20 Tools (listing of RDF stores and development tools)=20
    • Christian Bizer, Daniel Westphal: D= evelopers=20 Guide to Semantic Web Toolkits (another list of RDF development = tools)=20
    • Semantic Web=20 Crawling: a Sitemap Extension. The sitemap extension allows Data = publishers can state where RDF is located and which alternative = means are=20 provided to access it (Linked Data, SPARQL endpoint, RDF dump). =

    Projects and Practical Experience with Publishing Linked Data

    • Linking=20 Open Data Project (W3C SWEO community effort that publishes as = RDF and=20 interlinks open data sources such as Geonames, DBpedia, Musicbrainz, = ....=20 See also List=20 of public Linked Data sources on the Web)=20
    • Christian Bizer et al.: Interlinking=20 Open Data on the Web (poster)=20 (Overview about the W3C SWEO Linking Open Data project)=20
    • Christian Bizer et al.: The=20 RDF Book Mashup: From Web APIs to a Web of Data (Slides).=20 (SFSW2007 paper)=20
    • Marcus Cobden et al.: ECS URI=20 System (Documentation on how the ECS department of the = University of=20 Southampton implements Linked Data on their department website.=20
    • A similar=20 example is given be the website of the http://sites.wiwiss.fu-berlin.de/suhl/forschung/websys/opens= ource/index.html=20
    • Christian Bizer et al: DBpedia - Querying = Wikipedia=20 like a Database (Slides).=20 (WWW2007 Dev-Track presentation)

    Linked Data Clients

    • Tabulator RDF = Browser=20 (Linked Data browser implemented by Tim Berners-Lee et al.)=20
    • Tim Berners-Lee et al.: Tabulator:=20 Exploring and Analyzing Linked Data on the Semantic Web (Slides) = (SWUI2007=20 paper about the Tabulator Linked Data browser and its data retrieval = algorithms)=20
    • DISCO=20 Hyperdata Browser (a simple Linked Data browser provided by = Freie=20 Universit=C3=A4t Berlin)=20
    • OpenLink= Data=20 Web Browser (Linked Data browser provided by OpenLink)=20
    • Objectviewer=20 (Linked Data browser provided by SemanticWebCentral)=20
    • Semantic=20 Web Client Library (Java framework for building Linked Data = clients)=20
    • Semantic Web client for = SWI=20 Prolog (This is a small Prolog program allowing to see the = semantic-web=20 as a single graph, and to browse it, similar to the Semantic Web = Client=20 Library)=20
    • Tabulator= AJAR=20 RDF library for Javascript (retrieval engine underlying the = Tabulator=20 browser)=20
    • OpenLink Ajax = Toolkit=20 (includes both a Data Access Layer of RDF, SQL, and XML called Ajax = Database=20 Connectivity and a collection of RDF aware controls covering: Graph=20 Visualizers, TimeLines, Tag Clouds, Pivot Tables, and more)=20
    • See also List=20 of Linked Data Clients (maintained by the W3C Linking Open Data = project)=20

    Web of Data Search Engines

    • Falcons = developed=20 by IWS China, currently indexes 7 million RDF documents.=20
    • Sindice developed by = DERI Ireland,=20 currently indexes over=20 20 million RDF documents. See also their ISWC2007 paper Sindice.com: = Weaving the=20 Open Linked Data
    • Watson = developed=20 by KMi, UK. See also the=20 list of papers and presentations about Watson
    • Semantic Web Search Engine = (SWSE)=20 developed by DERI Ireland. See also their paper MultiCrawl= er: A=20 Pipelined Architecture for Crawling and Indexing Semantic Web = Data.=20
    • Swoogle developed by = ebiquity=20 group at UMBC USA, currently indexes 2.3 million RDF documents. See = also=20 their papers=20 about Swoogle .

    Appendix A: Example HTTP Session

    This is an example HTTP session where a Linked Data browser tries = to=20 dereference the URI http://dbpedia.org/resource/B= erlin,=20 a URI for the city of Berlin, published by the DBpedia project.

    To obtain a representation, the client connects to the = dbpedia.org=20 server and issues an HTTP GET request:

    GET /resource/Berlin =
HTTP/1.1

Host: dbpedia.org

Accept: text/html;q=3D0.5, application/rdf+xml

    The client sends an Accept: header to indicate that it = would take=20 either HTML or RDF; the q=3D0.5 quality value for HTML shows = that it=20 prefers RDF. The server could answer:

    HTTP/1.1 303 See Other

Location: http://dbpedia.org/data/Berlin

Vary: Accept

    This is a 303 redirect, which tells the client that the requested = resource=20 is a non-information resource, and its associated description can be = found at=20 the URI given in the Location: response header. Note that if = the=20 Accept: header had indicated a preference for HTML, we would = have=20 been redirected to another URI. This is indicated by the = Vary:=20 header, which is required so that caches work correctly. Next the = client will=20 try to dereference the URI of the associated description.

    GET =
/data/Berlin HTTP/1.1

Host: dbpedia.org

Accept: text/html;q=3D0.5, application/rdf+xml

    The server could answer:

    HTTP/1.1 200 OK

Content-Type: application/rdf+xml;charset=3Dutf-8



<?xml version=3D"1.0"?>

<rdf:RDF

    xmlns:units=3D"http://dbpedia.org/units/"

    xmlns:foaf=3D"http://xmlns.com/foaf/0.1/"

    xmlns:geonames=3D"http://www.geonames.org/ontology#"

    xmlns:rdfs=3D"http://www.w3.org/2000/01/rdf-schema#"

...

    The 200 status code tells the client that the response contains the = representation of an information resource. The Content-Type: = header=20 tells us that the representation is in RDF/XML format. The rest of the = message=20 contains the representation. Only the beginning is shown.

    Appendix B: How to get yourself into the Web of = Data

    A great way to get started with publishing Linked Data on the Web = is to=20 serve a static RDF file; this can work well for small amounts of = relatively=20 simple data. One common example of this practice is providing a Friend-of-a-Friend (FOAF) = file=20 alongside (and interlinked with) your HTML home page. This Appendix = provides=20 step-by-step instructions on how to create and publish a FOAF = description of=20 yourself, and how to link it into the Web of Data.

    FOAF-a-Matic is a = web form=20 that will generate a basic FOAF description for you in RDF/XML (which = we will=20 call your "FOAF file" from now onwards). This provides an excellent = foundation=20 to which you can add additional data. After generating your FOAF = profile using=20 FOAF-a-Matic, you'll need to save the generated RDF/XML code as a = static file=20 (using the filename foaf.rdf is a common convention) and = decide where=20 it will be hosted. Technically your FOAF file can be hosted anywhere = on the=20 Web, although it's common practice to use your own Web space and place = it in=20 the same directory as your home page. For example, Richard Cyganiak's = FOAF=20 file is located at http://richard.cyganiak.de/f= oaf.rdf;=20 this is the URI of the RDF document, the document describes Richard, = who is=20 identified by the URI = http://richard.cyganiak.de/foaf.rdf#cygri.

    By default FOAF-a-Matic will use a fragment identifier (such as=20 #me) to refer to you within your FOAF file. This fragment = identifier=20 is appended to the URI of your FOAF file to form your URI, of = the=20 form http://yourdomain.com/foaf.rdf#me. Congratulations, you = now have=20 a URI which can be used to identify you in other RDF statements on the = Web of=20 Data. Your URI is an example of a "hash URI", discussed in more detail = in Section=20 7.1.

    At this stage you will want to start linking your FOAF file into = the Web.=20 One good place to start is by linking to your FOAF file from your = homepage,=20 using the HTML LINK Auto-Discovery technique from Section=20 9, but don't stop there. To firmly embed your FOAF file into the = Web of=20 Data you need to read on and implement the guidance in the following=20 sections.

    Change Blank Nodes to URI references

    At present FOAF-a-Matic uses "blank nodes" to identify people you = know, not=20 URI references, as the system has no way of knowing the appropriate = URIs to=20 associate with each person. Example output with blank nodes is shown=20 below:

    ...

<foaf:knows>

  <foaf:Person>

    =
<foaf:mbox_sha1sum>362ce75324396f0aa2d3e5f1246f40bf3bb44401</foa=
f:mbox_sha1sum>

    <foaf:name>Dan Brickley</foaf:name>

    <rdfs:seeAlso rdf:resource=3D"http://danbri.org/foaf.rdf"/>=20

  </foaf:Person>

</foaf:knows>

...

    This is valid RDF but isn't good Linked Data, as blank nodes make = it much=20 harder to link and merge data across different sources (see Section=20 2.2 for more discussion of the issues with blank nodes). = Therefore, the=20 first thing to do in making your FOAF file into Linked Data is to look = at the=20 blank nodes representing people you know, and to replace them with = URIs where=20 possible.

    Link to your friends

    Section=20 6.1 explains how to set RDF links manually, and describes two = services=20 (Uriqr and Sindice) that you can use to try to find = existing=20 URIs for people you know. Following this approach we can find out that = the=20 existing URI http://danbri.org/foaf.rdf#dan= bri=20 identifies Dan Brickley, and replace the blank node generated by = FOAF-a-Matic=20 with this URI reference. The result would look like this:

    ...

<foaf:knows>

  <foaf:Person =
rdf:about=3D"http://danbri.org/foaf.rdf#danbri">

    =
<foaf:mbox_sha1sum>362ce75324396f0aa2d3e5f1246f40bf3bb44401</foa=
f:mbox_sha1sum>

    <foaf:name>Dan Brickley</foaf:name>

    <rdfs:seeAlso rdf:resource=3D"http://danbri.org/foaf.rdf"/>=20

  </foaf:Person>

</foaf:knows>

...

    After setting links to people you know, there are many other ways = in which=20 you can link your FOAF file into the Web of Data. Here we will discuss = two of=20 these.

    Tell people where you live

    A common thing to include in your FOAF file is information about = where you=20 are based, using the foaf:based_near property. This isn't = supported=20 by FOAF-a-Matic, so you'll need to add the code in manually. Add the = following=20 line somewhere inside the <foaf:Person=20 rdf:ID=3D"me"></foaf:Person> element, replacing the = object of the=20 triple with the URI reference of the place nearest to where you are = based.

    <foaf:based_near =
rdf:resource=3D"http://dbpedia.org/resource/Milton_Keynes"/>

    Using URIs from DBpedia or Geonames ensures that you are = linking your=20 FOAF file to well-established URIs which are also likely to be used by = others,=20 therefore making the Web more interconnected.

    How to link to your publications

    If you have ever written a book or published an academic paper in = the field=20 of Computer Science, a URI may already have been created for you in = the RDF version of DBLP = or in the=20 RDF = Book=20 Mashup. At a general level, how to handle this issue is touched = upon under=20 URI Aliases in Section=20 2.1. In summary, you simply need to link to them with a statement = saying=20 that they identify the same thing as the URI identifying you in your = FOAF=20 file. Section=20 6 describes how this should be done using the owl:sameAs=20 property.

    Appendix C: Changes

    • 2008-07-17: Added link to Vapour Linked Data validation service. =
    • 2008-02-18: Fixed typos pointed out by Gus Gollings. Added new=20 references to the "Further Reading and Tools" section.=20
    • 2007-08-29: Added white papers on Virtuoso to section 7.2.=20
    • 2007-07-27: Replaced the term 'data item' with 'associated = description'=20 after feeback from Frank=20 Manola and extended discussions on the Semantic=20 Web mailing list. Added reference to Virtuoso Sponger and to = Michael K.=20 Bergman blog post about data on the Web.=20
    • 2007-07-18: Added new section 7.1 from Richard. Added Apendix B = from=20 Tom.=20
    • 2007-07-17: Updated the document with feedback from Franois-Paul = Servant=20 and Leo Sauermann.=20
    • 2007-07-14: Moved FOAF example into Appendix B. Updated images = in=20 section two.=20
    • 2007-07-13: Updated the document with feedback from Ivan Herman, = Joshua=20 Shinavier, Giovanni Tummarello, Yves Raimond.=20
    • 2007-07-12: Small edits across the document by Chris. Sindice = added.=20
    • 2007-07-11: Initial version of this document.=20
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