Archive for the ‘Linked Data’ Category

A GoodRelations Semantic Web Description of a Business

Saturday, April 11th, 2009

Tried out the newly released GoodRelations Annotator to create a Semantic Web description of a business.

The GoodRelations Annotator is an online form-based tool that creates an RDF/XML file “semanticweb.rdf” containing a description of the key aspects of the business. The description is based on concepts defined in the GoodRelations OWL ontology. In particular the description contains a BusinessEntity representing the business and one or more Offerings. Each Offering describes the intent to provide a Business Function for a certain Product or Service to a specified target audience.

The generated RDF/XML file can be either be published directly on the company’s Web site or used as a skeleton for developing a more fine-grained description.

The link Publishing GoodRelations Data on the Web provides guidelines on publishing to the web.

In my case I created a description for my embryonic business 3kbo.

I’m interested in linking the generated semanticweb.rdf to other things, in particular linking the BusinessEntity with people and with other BusinessEntitys.

Initially I added the URI of my foaf file to the BusinessEntity instance using rdfs:seeAlso, but after reading the definition of BusinessEntity i.e. that it represents the legal agent making a particular offering and
can be a legal body or a person, I changed it to owl:sameAs.

E.g.

<gr:BusinessEntity rdf:ID=”BusinessEntity”>

<owl:sameAs
rdf:resource=”http://www.3kbo.com/people/richard.hancock/foaf.rdf#i“/>

</gr:BusinessEntity>

This makes sense for my simple case, since as a sole trader I am the BusinessEntity. When viewed in Firefox using the Tabulator Extension owl:sameAs also provides an inferred link from my foaf file to my semanticweb.rdf as shown below.

foaf-infers-goodrelations

A part of the business description I don’t understand yet is how best to use the eClassOWL ontology to describe the Product or Service.

For example using the GoodRelations Annotator I selected “19 information, communication and media technology” as the Category and “1904 Software” as the Group.

eClassProductCategory

This leads to http://www.ebusiness-unibw.org/ontologies/eclass/5.1.4/#C_AKJ317003-tax being used in the definition of the product or service, i.e.

<gr:typeOfGood>
<gr:ProductOrServicesSomeInstancesPlaceholder rdf:ID=“ProductOrServicesSomeInstancesPlaceholder_1″>
<rdf:type rdf:resource=”"&eco;#C_AKJ317003-tax”>

<gr:ProductOrServicesSomeInstancesPlaceholder>
<gr:typeOfGood>

Because of the size of the eClassOWL ontology it takes awhile to dereference this link. It would be good to be able to provide a  more user friendly reference at this point that provided a description of the product or service.

Beyond this simple example I am interested in semantic web descriptions of other more complex relationships between a BusinessEntity (when not a person) and the people involved with the business (e.g. directors, CEO etc …) and between other BusinessEntitys.

Potentially GoodRelations and eClassOWL could be used as part of an Enterprise Architecture describing the who, what, how, when, where and why of a business.

Why Migrate to the Semantic Web?

Saturday, November 8th, 2008

Why Migrate to the Semantic Web? has just been published at Devx.com.

It pretty much summarizes my reasons migrating the CDMS application to the semantic web.

What it doesn’t describe in detail is that for building compliance at a specific locality it is the local legislation that takes precedence. This means that Linked Data from sources such as Dbpedia is great for describing concepts but at a local level you need to refer to Linked Data derived from local legislation to explicitly clarify the criteria that forms the basis of compliance.

DBpedia Examples using Linked Data and Sparql

Monday, August 11th, 2008

Using Wikipedia, the largest online encyclopedia, users can browse and perform full-text searches, but programmatic access to the knowledge-base is limited.

The DBpedia project extracts structured information from Wikipedia opening it up to programmatic access using Semantic Web technologies such as Linked Data and SPARQL. This means that the linking and reasoning abilities of RDF and OWL can be utilized and queries for specific information can be made using SPARQL.

Simplistically the mapping from the Wikipedia HTML based web pages to the DBpedia RDF based resources can be thought of as replacing “http://en.wikipedia.org/wiki/” with “http://dbpedia.org/resource/” but in reality there are some additional subtleties which are described in the article From Wikipedia URI-s to DBpedia URI.

The Wikipedia entry for “Civil Engineering” (http://en.wikipedia.org/wiki/Civil_Engineering) is used as an example to show how specific data can be retrieved from its DBpedia equivalent (http://dbpedia.org/resource/Civil_engineering).

When both the Wikipedia entry (http://en.wikipedia.org/wiki/Civil_Engineering) and its DBpedia equivalent (http://dbpedia.org/resource/Civil_engineering) are opened in a standard web browser they display similar information, however the DBpedia equivalent has been redirected to http://dbpedia.org/page/Civil_engineering.

This redirect can be viewed in Firefox using the Tamper Data Firefox Extension as shown in the image below.

Loading the DBpedia Resource

The initial status of 303 is the HTTP response code “303 See Other“. The server replied with the HTTP response code 303 in order to direct the browser to URI http://dbpedia.org/page/Civil_engineering which is a HTML page the browser can display. The original URI http://dbpedia.org/resource/Civil_engineering is an RDF resource that would not display as well in the HTML browser.

DBpedia implements a HTTP mechanism called content negotiation in order to provide clients such as web browsers with the information they request in a form they can display. The tutorial How to publish Linked Data on the Web describe this and other Linked Data techniques that are used by applications such as DBpedia.

In order to access the RDF resource directly a web client needs to tell the server to send it RDF data. A client can do this by sending the HTTP Request Header Accept: application/rdf+xml as part of its initial request. (The HTML browser had sent an Accept: text/html HTTP header indicating that it was requesting an HTML page.)

The Firefox Addon RESTTest can be used to set Accept: application/rdf+xml in the HTTP Request Header and directly request http://dbpedia.org/resource/Civil_engineering as shown in the image below.

In this case the request to http://dbpedia.org/resource/Civil_engineering succeeded as shown by the “Response Status 200″ and a RDF document was received as shown in the “Response Text”.

In both the RDF fragment shown in the image above and in the HTML page http://dbpedia.org/page/Civil_engineering the multiple language support is visible. The SPARQL queries below show how to extract specific information for a particular language.

SPARQL

DBpedia provides a public SPARQL endpoint at http://dbpedia.org/sparql which enables users to query the RDF datasource with SPARQL queries such as the following.

SELECT ?abstract
WHERE {
{ <http://dbpedia.org/resource/Civil_engineering> <http://dbpedia.org/ontology/abstract> ?abstract }
}

The query returns all the abstracts for Civil Engineering, in each of the available languages.

The next query refines the abstracts returned to just the language specified, in this case ‘en’ (English).

SELECT ?abstract
WHERE {
{ <http://dbpedia.org/resource/Civil_engineering> <http://dbpedia.org/ontology/abstract> ?abstract .
FILTER langMatches( lang(?abstract), ‘en’) }
}

The SNORQL query explorer shown in the image below, provides a simpler interface to the DBpedia SPARQL endpoint. The image below shows both the query and the result returned.

Other SPARQL endpoints such as http://demo.openlinksw.com/sparql/ (shown below) can query DBpedia by specifying the FROM NAMED clause to describe the RDF dataset. E.g.

SELECT ?abstract
FROM NAMED <http://dbpedia.org>
WHERE {
{ <http://dbpedia.org/resource/Civil_engineering> <http://dbpedia.org/ontology/abstract> ?abstract.
FILTER langMatches( lang(?abstract), ‘en’) }
}

Other Related DBpedia Articles

RDF as self-describing Data uses DBpedia and its SPARQL support to show how RDF is essentially ’self-describing’ – there is no need to know about traditional metadata (schemas) before exploring a data set.

Linking to DBpedia with TopBraid outlines the benefit of DBpedia in terms of providing relatively stable URIs for all relevant real-world concepts, thus making it a natural place to connect specific domain models with each other using the OWL built in propery owl:sameAs ( This property indicates that two URI references actually refer to the same thing ). TopBraid Composer provides support to link domain models with DBpedia .

Querying DBpedia provides examples of using SPARQL to query DBpedia.

Adding Semantic Markup to Your Rails Application with DBpedia and ActiveRDF and
Get Semantic with DBPedia and ActiveRDF describe using ActiveRDF to integrate DBpedia resources into web based applications. ActiveRDF is a library for accessing RDF data from Ruby and Ruby On Rails programs and can perform SPARQL queries.

WWW2008 Linked Data Articles

Friday, April 25th, 2008

The WWW2008 Conference has published some great material, in particular the papers from the Linked Data on the Web (LDOW2008) Workshop.

The Workshop Introduction is an easy to read summary of the development of Linked Data and the Linking Open Data Project over the past year. It includes the Linking Open Data “cloud” diagram which shows the relationships between the main currently available datasets. A good way to get a feel for the amount and scope of available Linked Data is to open each of dataset in its own tab in Firefox and look across the spectrum of data presented.

The home page of the Linking Open Data Project also lists recent developments such as new datasets, tools, publications and conferences becoming available. Conferences in the near future include the Linked Data Planet Conference in New York in June, and the I-Semantics 2008 in Austria in September. I-Semantics 2008 includes the LOD Triplification Challenge for show casing applications which demonstrate the benefits of linked data to end users.

DBpedia Mobile: A Location-Enabled Linked Data Browser provides an overview of DBpedia Mobile, a location-centric DBpedia client application for mobile devices. “The DBpedia project extracts structured information from Wikipedia and publishes this information as Linked Data on the Web. The DBpedia datasets contain information for about 2.18 million things, including almost 300,000 geographic locations. DBpedia is interlinked with various other location-related datasets. Based on the current GPS position of a mobile device, DBpedia Mobile renders a map indicating nearby locations from the DBpedia dataset. Starting from this map, users can explore background information about locations and can navigate into interlinked datasets. DBpedia Mobile demonstrates that the DBpedia dataset can serve as a useful starting point to explore the Geospatial SemanticWeb using a mobile device.”

There are a couple of options for trying out DBpedia Mobile from your browser including Viewing based on IP Address.

For getting up to speed with RDF, OWL and SPARQL, the technologies that form the basis of Linked Data, a good tutorial just published is Understanding SPARQL.