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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Grouping Results of Queries to Ontological Knowledge Bases by Conceptual Clustering
verfasst von : Agnieszka Ławrynowicz
Erschienen in: Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Verlag: Springer Berlin Heidelberg
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The paper proposes the framework for clustering results of queries submitted over Semantic Web data. As an instantiation of a framework, an approach is proposed for clustering the results of conjunctive queries submitted to knowledge bases represented in Web Ontology Language (OWL). As components of the approach, a method for the construction of a set of semantic features, as well as a novel method for feature selection are presented. The proposed approach is implemented, and its feasibility is tested empirically.