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A Consensus-Based Method for Solving Concept-Level Conflict in Ontology Integration

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Book cover Transactions on Computational Collective Intelligence XXII

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 9655))

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Abstract

Ontology reuse has played an important role in developing the shared knowledge in Semantic Web. The ontology reuse enables knowledge sharing more easily between ontology-based intelligent systems. In meanwhile, we are still facing the challenging task of solving the conflict potentials in the ontology integration at syntactic and semantic levels. On one aspect of considering knowledge conflicts during the integration process, we try to find the meaningfulness of the conflicting knowledge that means a consensus among conflicts in integrating ontologies. This paper presents a novelty method for finding the consensus in ontology integration at the concept level. Our approach is based on the consensus theory and distance functions between attributes’ values.

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Notes

  1. 1.

    http://datahub.io/dataset/dbpedia.

  2. 2.

    http://www.w3.org/TR/owl2-syntax.

  3. 3.

    tkb is an acronym for “thoi khoa bieu” in Vietnamese, which is equals to “schedule” in English.

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Correspondence to Hanh Huu Hoang .

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Van Nguyen, T., Hoang, H.H. (2016). A Consensus-Based Method for Solving Concept-Level Conflict in Ontology Integration. In: Nguyen, N.T., Kowalczyk, R. (eds) Transactions on Computational Collective Intelligence XXII. Lecture Notes in Computer Science(), vol 9655. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49619-0_6

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  • DOI: https://doi.org/10.1007/978-3-662-49619-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49618-3

  • Online ISBN: 978-3-662-49619-0

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