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7 May 2009

Using Online Ontologies in Knowledge Intensive Applications

Location: Meeting Room 10, 2nd Floorm, JLB
Time: 12:30pm - 13:45pm
Speaker(s): Marta Sabou - KMi

While formally represented world knowledge plays an important role in many AI and language technology applications, its acquisition on a sufficiently large scale remains problematic. In this talk we investigate a potential solution to this knowledge acquisition bottleneck which consists in exploiting the growing body of ontologies made available online as a side effect of research in the Semantic Web area. This collection, now reaching more than 10,000 ontologies, is the largest and most heterogeneous knowledge resource known in the history of AI. In this talk we explore its characteristics by reporting on our findings while using it in various knowledge intensive applications. We also discuss its potential use to support language technology applications. [Bio] Dr. Marta Sabou is a Research Fellow at the Knowledge Media Institute (KMi) of the Open University, UK. She holds a Master's Degree in Artificial Intelligence from the Vrije Universiteit, Amsterdam. In 2005 she completed her PhD at the Knowledge Representation Group of the Vrije Universiteit on the topic of enhancing and (semi-)automatically learning ontologies used to specify the semantic description of Web services. In 2006, she won IEEE Intelligent System’s “Ten to Watch” award. Much of her work was carried out in the context of major European research projects, such as WonderWeb, KnowledgeWeb, SWAP, OpenKnowledge and currently NeOn and SmartProducts. Her current research focuses on building novel applications that are capable of exploring large-scale, semantic content available on the Web. In particular, she investigates methods for ontology selection, modularization and matching that are needed in this context. Her work has resulted in a number of publications in high-impact conferences (WWW conferences, International Semantic Web Conferences), the Journal of Web Semantics, and the IEEE Intelligent Systems journal.


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Contact: mailto:r.power@open.ac.uk