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An Asymmetric Approach to Discover the Complex Matching Between Ontologies

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Computational Collective Intelligence (ICCCI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9875))

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Abstract

This paper introduces an extensional and asymmetric alignment approach capable of identifying complex mappings between OWL ontologies. This approach employ the association rule to detect implicative and conjunctive mapping containing complex correspondences. Method for extracting the complex mappings is presented and results of experiments carried out on the large biomedical ontologies and the anatomy track available to Test library of Ontology Alignment Evaluation Initiative show the efficiency of the approach proposed.

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Notes

  1. 1.

    Cell Ontology (CL), http://www.cellontology.org/.

  2. 2.

    Beta Cell Genomics Ontology, https://github.com/obi-bcgo/bcgo.

  3. 3.

    Ontology Alignment Evaluation Initiative Test library (2015), http://oaei.ontologymatching.org/2015/seals-eval.html.

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Author information

Authors and Affiliations

  1. Laboratory MIRACL, Faculty of Economic Sciences and Management, Sfax, Tunisia

    Fatma Kaabi

  2. Laboratory MIRACL, The Higher Institute of Computer Science and Multimedia of Sfax, BP 242, Sakiet Ezzit, 3021, Sfax, Tunisia

    Faiez Gargouri

Authors
  1. Fatma Kaabi
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  2. Faiez Gargouri
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Corresponding author

Correspondence to Fatma Kaabi .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc-Thanh Nguyen

  2. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Lazaros Iliadis

  3. Department of Forestry and Management, Democritus University of Thrace, Orestiada, Thrace, Greece

    Yannis Manolopoulos

  4. Wrocław University of Technology, Wrocław, Poland

    Bogdan Trawiński

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Kaabi, F., Gargouri, F. (2016). An Asymmetric Approach to Discover the Complex Matching Between Ontologies. In: Nguyen, NT., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-45243-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45242-5

  • Online ISBN: 978-3-319-45243-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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