Workshop at ESWC 2013.
The Linked Data initiative aims at improving data publication on the Web, thereby creating a “Web of Data”: an interconnected, distributed, global data space. The Web of Data enables people to share structured data on the Web as easily as they can currently share documents on the Web of Documents (WWW). The availability of this global data space creates new opportunities for the exploitation of Artificial Intelligence techniques in relation with knowledge representation, information extraction, data mining, information integration, and intelligent agents. Two approaches can emerge: (i) using AI techniques to address the problems the Web of Data faces or, (ii) using the design principles of the Web of Data to improve knowledge representation, publications and reasoning within AI techniques.
The workshop is inherently interdisciplinary, as it attempts to integrate the Semantic Web and AI disciplines like natural language processing, AI and law, game theory, cognitive science, and digital societies. This workshop aims at bringing them together, and we invite papers from all the above disciplines, in particular those that cross the traditional disciplinary boundaries. With this workshop, our goal is to contribute to the birth of a community having a shared interest around publishing data on the Web, exploring and reasoning over it using AI technologies – or the inverse, improving AI technologies by the adoption of techniques and tools proposed within Web of Data research.
PROGRAM - Sunday 26th May
9:30 - 10:30
Keynote from Jean-François Baget (LIRMM Montpellier)
Title: Ontologies and large databases: querying algorithms for the Web of Data
10:30 - 11:00 Coffee Break
11:00 - 11:20 CycQL: A SPARQL Adapter for OpenCyc by Steve Battle
11:20 - 11:40 Semantics-based models for the representation of claims about cultural artifacts and their sources by Aikaterini Vasilopoulou-Spitha and Antonis Bikakis
11:40 - 12:30
Keynote from Stefan Schlobach (Vrije Universiteit Amsterdam)
Title: Pragmatic Semantics for the Web of Data