Home

SPARQL

05.03.10
A Common SPARQL Extension

I have often heard people lament the lack of federated systems in the Semantic Web. Certainly, the use of URIs allows data from many different sources to link together seamlessly, and the judicious use of assertions like owl:sameAs can help fill in the gaps, but if a developer wants to do something interesting with data from more than one SPARQL endpoint, they must draw it all in from various locations before merging and linking it all locally. Where is the “webiness” in this data? Wasn’t SPARQL supposed to do all of the processing work for us?

03.15.10
Finding and Visualizing Relationships

RelFinder, a new Adobe Flex-based application, has been announced by a collection of researchers from the University of Stuttgart, the Carlos III University of Madrid and the University of Duisburg-Essen. Additional contributions have been made by individuals from the University of Leipzig and AKSW.

The application can be configured to point to arbitrary RDF datasets exposed through a SPARQL endpoint, but uses several standard data sets out of the box. The default sources include:

02.28.10
Linked Data API introduced at London Meetup

Last week, the Second Linked Data Meetup London was held at the University of London Union. There were several compelling presentations discussed on Twitter  including the BBC’s use of Linked Data for their Wildlife Finder app.

07.06.09
Active PURLs: Stored Procedures for the Semantic Web – SemTech 2009 Audio

David Wood, Zepheira Persistent URLs (PURLs) have operated on the Internet since 1995, and were re-architected and described at SemTech in 2008. Part of the re-architecture was to add semantic capabilities to PURLs so that metadata descriptions of a resource may be computationally separated from resources themselves. The Open Source community at http://purlz.org maintains and extends the PURL code base.

04.21.09
"Semantic Web Programming" book now available – John Hebeler

Your guide to building working solutions for the Semantic Web.

We wrote Semantic Web Programming to offer a useful guide to get the Semantic Web to do stuff – such as data integration and rich data analysis. We are active developers in this space and directly see its potential.  We outline the key concepts, tools, and methods you need to program the Semantic Web to achieve these goals.  Our book is filled with practical, easy-to-follow, examples using working code to illustrate how to take advantage of the many data sources and services available today, especially non-semantic ones like instant messaging, relational databases, and web services such as those offered by Facebook. 

04.01.09
TopQuadrant Webcast II: SPARQL for Business Rules and Constraint Checking: Introducing SPIN*

Semantic Web modeling languages like OWL offer a standard way to define domain concepts and their relationships. This alone, however, can’t fully address the need for describing executable behavior. Using the domain models for data validation, transformation and other application specific reasoning typically requires expressivity of rule languages. In this webinar we show how to use SPARQL to define efficient business rules and constraint checks that will work with any RDF database.

This webinar will:

01.14.09
Leveraging OWL-DL, SPARQL, and XSLT to Automate Java Agent Configuration
Executive Summary

In this article, we describe an approach to automating the generation of Java™ agent configuration files which leverages the Web Ontology Language (OWL), the SPARQL query language, and Extensible Stylesheet Language Transformations (XSLT).