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Theoretical Information Reuse and Integration pp 113–134Cite as

Case Indexing by Component, Context, and Encapsulation for Knowledge Reuse

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 446))

Abstract

Ontology is commonly defined as a formal specification of knowledge conceptualization in a consensual form. OWL (Web Ontology Language) is the most used and expressive ontology description language that supports handling and reasoning. However, it lacks expressivity for some specific requirements. We first proposed, in a previous work, to enhance OWL expressivity with two new relevant notions for reuse. These notions concern concepts contextualization and encapsulation. We propose, in this paper, to provide representation criterions for these two notions in a case-based reasoning (CBR) system. In of a problem-solving experience, in a given domain, includes a problem part and a solution part—each of which requires an appropriate representation. We propose specific indexing to represent these two parts by highlighting the indexing specificity for contextualization and encapsulation of concepts.

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Author information

Authors and Affiliations

  1. École nationale Supérieure d’Informatique, LCSI Laboratory, Algiers, Algeria

    Asmaa Chebba, Thouraya Bouabana-Tebibel & Kadaouia Habib

  2. Space and Naval Warfare Systems Center Pacific, San Diego, 92152-5001, USA

    Stuart H. Rubin

Authors
  1. Asmaa Chebba
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  2. Thouraya Bouabana-Tebibel
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  3. Stuart H. Rubin
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  4. Kadaouia Habib
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Corresponding author

Correspondence to Asmaa Chebba .

Editor information

Editors and Affiliations

  1. d'Informatique, Ecole Nationale Supérieure, Alger, Algeria

    Thouraya Bouabana-Tebibel

  2. Code 71730, BS, SPAWAR Systems Center Pacific, San Diego, California, USA

    Stuart H. Rubin

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Chebba, A., Bouabana-Tebibel, T., Rubin, S.H., Habib, K. (2016). Case Indexing by Component, Context, and Encapsulation for Knowledge Reuse. In: Bouabana-Tebibel, T., Rubin, S. (eds) Theoretical Information Reuse and Integration. Advances in Intelligent Systems and Computing, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-319-31311-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-31311-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31309-2

  • Online ISBN: 978-3-319-31311-5

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