Semantic Web Dog Food

Presented at: 6th International and 2nd Asian Semantic Web Conference (ISWC2007+ASWC2007)

by Bernardo Cuenca Grau, Yevgeny Kazakov, Christian Halaschek-Wiener

The development of ontologies involves continuous but relatively small modifications. Existing ontology reasoners, however, do not take advantage of the similarities between different versions of an ontology. In this paper, we propose a technique for incremental reasoning - that is, reasoning that reuses information obtained from previous versions of an ontology - based on the notion of a module. Our technique does not depend on a particular reasoning calculus and thus can be used in combination with any reasoner. We have applied our results to incremental classification of OWL DL ontologies and found significant improvement over regular classification time on a set of real-world ontologies.

History Matters: Incremental Ontology Reasoning Using Modules was presented at this event.

Keywords: Formal language, Ontology (computer science), Ontology (Computer Science), Reasoning, Semantic Web, Software agent, Software Agent, Web service, Web Service

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc-aswc/2007/tracks/research/papers/183
Same as: http://revyu.com/things/iswc-aswc-2007-research-paper-183-history-matters

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