Grouping Results of Queries to Ontological Knowledge Bases by Conceptual Clustering

  • Authors:
  • Agnieszka Ławrynowicz

  • Affiliations:
  • Institute of Computing Science, Poznan University of Technology, Poznan, Poland 60-965

  • Venue:
  • ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
  • Year:
  • 2009

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Abstract

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.