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Semantic Similarity of Ontology Instances Tailored on the Application Context

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On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE (OTM 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4275))

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Abstract

The paper proposes a framework to assess the semantic similarity among instances within an ontology. It aims to define a sensitive measurement of semantic similarity, which takes into account different hints hidden in the ontology definition and explicitly considers the application context. The similarity measurement is computed by combining and extending existing similarity measures and tailoring them according to the criteria induced by the context. Experiments and evaluation of the similarity assessment are provided.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/11914853_71.

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Authors and Affiliations

  1. CNR-IMATI, Via De Marini, 6 Torre di Francia, 16149, Genova, Italy

    Riccardo Albertoni & Monica De Martino

Authors
  1. Riccardo Albertoni
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  2. Monica De Martino
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Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, 3001, Melbourne, VIC, Australia

    Zahir Tari

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Albertoni, R., De Martino, M. (2006). Semantic Similarity of Ontology Instances Tailored on the Application Context. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE. OTM 2006. Lecture Notes in Computer Science, vol 4275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11914853_66

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  • DOI: https://doi.org/10.1007/11914853_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48287-1

  • Online ISBN: 978-3-540-48289-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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