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Measuring similarity of individuals in description logics over the refinement space of conjunctive queries

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Abstract

Similarity assessment is a key operation in several 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 therefore 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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Notes

  1. http://www.w3.org/TR/owl2-profiles/

  2. Notice that this approach require large amounts of memory and might no be practical for large knowledge bases.

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Acknowledgments

This research has been partially supported by the Spanish Government projects Cognitio (TIN2012-38450-C03-03) and PerSO (TIN2014-55006-R).

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Authors and Affiliations

  1. Departamento Ingeniería del Software e Inteligencia Artificial, Universidad Complutense de Madrid, Madrid, Spain

    Antonio A. Sánchez-Ruiz & Pedro A. González-Calero

  2. Computer Science Department, Drexel University, Philadelphia, PA, 19104, USA

    Santiago Ontañón

  3. IIIA-CSIC, Artificial Intelligence Research Institute, Campus Campus de la Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalonia, Barcelona, Spain

    Enric Plaza

Authors
  1. Antonio A. Sánchez-Ruiz
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  2. Santiago Ontañón
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  3. Pedro A. González-Calero
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  4. Enric Plaza
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Correspondence to Antonio A. Sánchez-Ruiz.

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Sánchez-Ruiz, A.A., Ontañón, S., González-Calero, P.A. et al. Measuring similarity of individuals in description logics over the refinement space of conjunctive queries. J Intell Inf Syst 47, 447–467 (2016). https://doi.org/10.1007/s10844-015-0374-3

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