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

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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.

References

  1. Barthélemy, J.P., Janowitz, M.F.: A formal theory of consensus. SIAM J. Discrete Math. 4(3), 305–322 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  2. Bizer, C., Heath, T., Berners-Lee, T.: Linked data-the story so far. Int. J. Semant. Web Inf. Syst. (IJSWIS) 5(3), 1–22 (2009)

    Article  Google Scholar 

  3. Dastgheib, S., Mesbah, A., Kochut, K.: MOntage: building domain ontologies from linked open data. In: Proceedings of the 2013 IEEE Seventh International Conference on Semantic Computing, ICSC 2013, pp. 70–77. IEEE Computer Society, Washington, DC (2013). http://dx.org/10.1109/ICSC.2013.21

  4. Duong, T.H., Nguyen, N.T., Kozierkiewicz-Hetmanska, A., Jo, G.: Fuzzy ontology integration using consensus to solve conflicts on concept level. In: ACIIDS Posters, pp. 33–42 (2011)

    Google Scholar 

  5. Euzenat, J.: Towards a principled approach to semantic interoperability. In: Proceedings of the 2001 Workshop on Ontology and Information Sharing, pp. 19–25 (2001)

    Google Scholar 

  6. Euzenat, J., Shvaiko, P.: Ontology Matching, 2nd edn. Springer, Heidelberg (2013)

    Book  MATH  Google Scholar 

  7. Ge, J., Qiu, Y.: Concept similarity matching based on semantic distance. In: Proceedings of the Fourth International Conference on Semantics Knowledge and Grid, pp. 380–383. IEEE (2008)

    Google Scholar 

  8. Jain, P., Hitzler, P., Sheth, A.P., Verma, K., Yeh, P.Z.: Ontology alignment for linked open data. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part I. LNCS, vol. 6496, pp. 402–417. Springer, Heidelberg (2010). http://dl.acm.org/citation.cfm?id=1940281.1940308

    Chapter  Google Scholar 

  9. Jain, P., Yeh, P.Z., Verma, K., Vasquez, R.G., Damova, M., Hitzler, P., Sheth, A.P.: Contextual ontology alignment of LOD with an upper ontology: a case study with proton. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part I. LNCS, vol. 6643, pp. 80–92. Springer, Heidelberg (2011). http://link.springer.com/10.1007/978-3-642-21034-1_6

    Chapter  Google Scholar 

  10. Klein, M.: Combining and relating ontologies: an analysis of problems and solutions. In: Proceedings of the 2001 Workshop on Ontologies and Information Sharing, vol. 47, pp. 53–62 (2001). http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.3504

  11. Nguyen, N.T.: Representation choice methods as the tool for solving uncertainty in distributed temporal database systems with indeterminate valid time. In: Monostori, L., Váncza, J., Ali, M. (eds.) IEA/AIE 2001. LNCS (LNAI), vol. 2070, pp. 445–454. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  12. Nguyen, N.T.: Consensus system for solving conflicts in distributed systems. Inf. Sci. 147(1), 91–122 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  13. Nguyen, N.T.: Advanced Methods for Inconsistent Knowledge Management. Springer, London (2007)

    Google Scholar 

  14. Nikolov, A., Uren, V., Motta, E., de Roeck, A.: Overcoming schema heterogeneity between linked semantic repositories to improve coreference resolution. In: Gómez-Pérez, A., Yu, Y., Ding, Y. (eds.) ASWC 2009. LNCS, vol. 5926, pp. 332–346. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  15. Zgrzywa, M.: Consensus determining with dependencies of attributes with interval values. J. Univ. Comput. Sci. 13(2), 329–344 (2007)

    Google Scholar 

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Author information

Authors and Affiliations

  1. College of Sciences, Hue University, 77 Nguyen Hue Street, Hue City, Vietnam

    Trung Van Nguyen

  2. Hue University, 3 Le Loi Street, Hue City, Vietnam

    Hanh Huu Hoang

Authors
  1. Trung Van Nguyen
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  2. Hanh Huu Hoang
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Correspondence to Hanh Huu Hoang .

Editor information

Editors and Affiliations

  1. Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Swinburne University of Technology, Hawthorn, Australia

    Ryszard Kowalczyk

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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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