Refinement-Based Similarity Measure over DL Conjunctive Queries

  • Antonio A. Sánchez-Ruiz
  • Santiago Ontañón
  • Pedro Antonio González-Calero
  • Enric Plaza
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7969)

Abstract

Similarity assessment is a key operation in case-based reasoning and other areas of artificial intelligence. This paper focuses on measuring similarity in the context of Description Logics (DL), and specifically on similarity between individuals. The main contribution of this paper is a novel approach based on measuring similarity in the space of Conjunctive Queries, rather than in the space of concepts. The advantage of this approach is two fold. On the one hand it is independent of the underlying DL, and thus, there is no need to design similarity measures for different DL, and on the other hand, the approach is computationally more efficient than searching in the space of concepts.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Antonio A. Sánchez-Ruiz
    • 1
  • Santiago Ontañón
    • 2
  • Pedro Antonio González-Calero
    • 1
  • Enric Plaza
    • 3
  1. 1.Dep. Ingeniería del Software e Inteligencia ArtificialUniversidad Complutense de MadridSpain
  2. 2.Computer Science DepartmentDrexel UniversityPhiladelphiaUSA
  3. 3.IIIA, Artificial Intelligence Research Institute, CSIC, Spanish Council for Scientific ResearchCampus UABBellaterraSpain

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