A graph-based approach for resolving incoherent ontology mappings.

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  • Additional Information
    • Author-Supplied Keywords:
      alignment repairing
      incoherence
      mapping validation
      ontology alignment
      Semantic Web
    • Abstract:
      Ontology mappings are regarded as the semantic bridges that link entities from different yet overlapping ontologies in order to support knowledge sharing and reuse on the Semantic Web. However, mappings can be wrong and result in logical conflicts among ontologies. Such kind of mappings are called incoherent mappings. As an important part of ontology matching, mapping validation aims at detecting the conflicts and restoring the coherence of mappings. In this paper, we propose a graph-based approach which is complete for detecting incoherent mappings among DL-Lite ontologies. The lightweight DL-Lite family of description logics stand out for tractable reasoning and efficient query answering capabilities. Our approach consists of a set of graph construction rules, a graph-based incoherence detection algorithm, and a graph-based incoherence repair algorithm. We propose and formalize three repair principles in an attempt to measure the wrong mappings, where the notion of common closures w.r.t. a mapping arc in the constructed graph is introduced. These principles feature a global removal strategy that is independent of individual ontology matchers. In order to relieve the loss of information among ontologies in the repair process, we further define a mapping revision operator so that common closures related to the removed mappings can be preserved in the graph. We implement the graph-based algorithms and evaluate their performance in a comparison with state-of-the-art systems on real-world ontologies. Experimental results show that our approach can remove more wrong mappings and achieve better repairing results in most of the cases. [ABSTRACT FROM AUTHOR]
    • Abstract:
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    • Author Affiliations:
      1MADIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.
      2University of Chinese Academy of Sciences, Beijing, China.
      3School of Computer Science and Engineering, Southeast University, Nanjing, China.
    • Full Text Word Count:
      3653
    • ISSN:
      2405-6456
    • Accession Number:
      10.3233/WEB-180371
    • Accession Number:
      128962646
  • Citations
    • ABNT:
      LI, W.; ZHANG, S.; QI, G. A graph-based approach for resolving incoherent ontology mappings. Web Intelligence (2405-6456), [s. l.], v. 16, n. 1, p. 15–35, 2018. Disponível em: . Acesso em: 24 ago. 2019.
    • AMA:
      Li W, Zhang S, Qi G. A graph-based approach for resolving incoherent ontology mappings. Web Intelligence (2405-6456). 2018;16(1):15-35. doi:10.3233/WEB-180371.
    • APA:
      Li, W., Zhang, S., & Qi, G. (2018). A graph-based approach for resolving incoherent ontology mappings. Web Intelligence (2405-6456), 16(1), 15–35. https://doi.org/10.3233/WEB-180371
    • Chicago/Turabian: Author-Date:
      Li, Weizhuo, Songmao Zhang, and Guilin Qi. 2018. “A Graph-Based Approach for Resolving Incoherent Ontology Mappings.” Web Intelligence (2405-6456) 16 (1): 15–35. doi:10.3233/WEB-180371.
    • Harvard:
      Li, W., Zhang, S. and Qi, G. (2018) ‘A graph-based approach for resolving incoherent ontology mappings’, Web Intelligence (2405-6456), 16(1), pp. 15–35. doi: 10.3233/WEB-180371.
    • Harvard: Australian:
      Li, W, Zhang, S & Qi, G 2018, ‘A graph-based approach for resolving incoherent ontology mappings’, Web Intelligence (2405-6456), vol. 16, no. 1, pp. 15–35, viewed 24 August 2019, .
    • MLA:
      Li, Weizhuo, et al. “A Graph-Based Approach for Resolving Incoherent Ontology Mappings.” Web Intelligence (2405-6456), vol. 16, no. 1, Jan. 2018, pp. 15–35. EBSCOhost, doi:10.3233/WEB-180371.
    • Chicago/Turabian: Humanities:
      Li, Weizhuo, Songmao Zhang, and Guilin Qi. “A Graph-Based Approach for Resolving Incoherent Ontology Mappings.” Web Intelligence (2405-6456) 16, no. 1 (January 2018): 15–35. doi:10.3233/WEB-180371.
    • Vancouver/ICMJE:
      Li W, Zhang S, Qi G. A graph-based approach for resolving incoherent ontology mappings. Web Intelligence (2405-6456) [Internet]. 2018 Jan [cited 2019 Aug 24];16(1):15–35. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=128962646&custid=s8280428