A Semantic Similarity Measure for the SIMS Framework

  • Authors:
  • Roberto Pirrone;Giuseppe Russo;Pierluca Sangiorgi;Nunzio Ingraffia;Claudia Vicari

  • Affiliations:
  • DINFO, Universitá degli Studi Palermo,;DINFO, Universitá degli Studi Palermo,;DINFO, Universitá degli Studi Palermo,;Engineering - Ingegneria Informatica S.p.A., R&D Lab, ,;Engineering - Ingegneria Informatica S.p.A., R&D Lab, ,

  • Venue:
  • KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
  • Year:
  • 2008

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Abstract

The amount of currently available digital information grows rapidly. Relevant information is often spread over different information sources. An efficient and flexible framework to allow users to satisfy effectively their information needs is required. The work presented in this paper describes SIMS (Semantic Information Management System), a reference architecture for a framework performing semantic annotation, search and retrieval of information from multiple sources. The work presented in this paper focuses on a specific SIMS module, the SIMS Semantic Content Navigator, proposing an algorithm and the related implementation to calculate a semantic similarity measure inside an OWL ontology. This measure is based on ontology structure and on the information provided by attributes and relations that are defined inside the ontology. This work is the result of a collaborative effort between the DINFO (Department of Computer Science and Engineering) and the research team of Engineering - Ingegneria Informatica.