By Naoki Sugiura, Yoshihiro Shigeta, Naoki Fukuta, Noriaki Izumi, Takahira Yamaguchi (auth.), Christoph J. Bussler, John Davies, Dieter Fensel, Rudi Studer (eds.)

ISBN-10: 3540219994

ISBN-13: 9783540219996

This e-book constitutes the refereed lawsuits of the 1st eu Semantic net Symposium, ESWS 2004, held in Heraklion, Crete, Greece in could 2004.

The 33 revised complete papers provided have been rigorously reviewed and chosen from seventy nine submissions. The papers are prepared in topical sections on ontology engineering, ontology matching and mapping, ontology-based querying, ontology merging and inhabitants, infrastructure, semantic internet companies, carrier discovery and composition, information from the semantic internet, wisdom presentation, purposes, content material administration, and data administration and integration.

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Additional resources for The Semantic Web: Research and Applications: First European Semantic Web Symposium, ESWS 2004 Heraklion, Crete, Greece, May 10-12, 2004. Proceedings

Sample text

De Abstract. , their laptop). To improve knowledge management for such decentralized and individualized knowledge work, it is necessary to, first, provide a corresponding IT infrastructure and to, second, deal with the harmonization of different vocabularies/ontologies. In this paper, we briefly sketch the technical peer-to-peer platform that we have built, but then we focus on the harmonization of the participating ontologies. Thereby, the objective of this harmonization is to avoid the worst incongruencies by having users share a core ontology that they can expand for local use at their will and individual needs.

Sintek learning algorithms to find potentially interesting concepts and relations between them (see also Maedche, 2003). A typical approach in ontology learning from text first involves term extraction from a domain-specific corpus through a statistical process that determines their relevance for the domain corpus at hand. These are then clustered into groups with the purpose of identifying a taxonomy of potential classes. Subsequently also relations can be identified by computing a statistical measure of ‘connectedness’ between identified clusters.

31] 54–68 7. : Project JXTA: A technology overview. Technical report, Sun Micros. Inc. (2001) 8. : SeRQL: Sesame RDF query language. 2 Method Design. (2003) 55–68 9. : Querying RDF descriptions for community web portals. In: Proceedings of The French National Conference on Databases 2001 (BDA’01), Agadir, Maroc (2001) 133–144 10. : OntoEdit: Multifaceted inferencing for ontology engineering. Journal on Data Semantics, LNCS 2800 (2003) 128–152 11. : Evolving Ontologies in Distributed and Dynamic Settings.

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The Semantic Web: Research and Applications: First European Semantic Web Symposium, ESWS 2004 Heraklion, Crete, Greece, May 10-12, 2004. Proceedings by Naoki Sugiura, Yoshihiro Shigeta, Naoki Fukuta, Noriaki Izumi, Takahira Yamaguchi (auth.), Christoph J. Bussler, John Davies, Dieter Fensel, Rudi Studer (eds.)


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