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Updating Ontology Alignment on the Instance Level Based on Ontology Evolution

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Database and Expert Systems Applications (DEXA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12392))

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Abstract

This paper is devoted to investigating if it is possible to update stale alignments, based solely on the analysis of changes introduced to ontologies participating in the alignment. A change-significance function will be presented, which can be used to indicate whether or not the alignment revalidation is potentially required. Next, an algorithm for revalidation of existing mappings will be proposed. Due to the limited space of this paper, only the instance level will be considered.

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References

  1. Achichi, M., et al.: Results of the ontology alignment evaluation initiative 2017. In: OM 2017–12th ISWC Workshop on Ontology Matching, pp. 61–113 (2017). No commercial editor

    Google Scholar 

  2. Algergawy, A., et al.: Results of the ontology alignment evaluation initiative 2019. In: CEUR Workshop Proceedings, vol. 2536, pp. 46–85 (2019)

    Google Scholar 

  3. Alor-Hernández, G., Sánchez-Cervantes, J.L., Rodríguez-González, A., Valencia-García, R. (eds.): Current Trends in Semantic Web Technologies: Theory and Practice. SCI, vol. 815. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-06149-4

    Book  Google Scholar 

  4. Abubakar, M., Hamdan, H., Mustapha, N., Aris, T.N.M.: Instance-based ontology matching: a literature review. In: Ghazali, R., Deris, M.M., Nawi, N.M., Abawajy, J.H. (eds.) SCDM 2018. AISC, vol. 700, pp. 455–469. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-72550-5_44

    Chapter  Google Scholar 

  5. Cardoso, S.D., et al.: Leveraging the impact of ontology evolution on semantic annotations. In: Blomqvist, E., Ciancarini, P., Poggi, F., Vitali, F. (eds.) EKAW 2016. LNCS (LNAI), vol. 10024, pp. 68–82. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-49004-5_5

    Chapter  Google Scholar 

  6. Castano, S., Ferrara, A., Lorusso, D., Montanelli, S.: On the ontology instance matching problem. In: 2008 19th International Workshop on Database and Expert Systems Applications, pp. 180–184. IEEE (2008)

    Google Scholar 

  7. Daskalaki E., Flouris G., Fundulaki I., Saveta T: Instance matching benchmarks in the era of linked data. J. Web Semant. 39, 1–14 (2016)

    Article  Google Scholar 

  8. Destro, J.M., dos Reis, J.C., Torres, R.D.S., Ricarte, I.: Evolution-based refinement of cross-language ontology alignments. In: Anais do XXXIV Simpósio Brasileiro de Banco de Dados, pp. 61–72. SBC (2019)

    Google Scholar 

  9. Heflin J., Song D.: Ontology instance linking: towards interlinked knowledge graphs. In: Thirtieth AAAI Conference on Artificial Intelligence (2016)

    Google Scholar 

  10. Hnatkowska, B., Kozierkiewicz, A., Pietranik, M.: OWL RL to framework for ontological knowledge integration preliminary transformation. In: Asian Conference on Intelligent Information and Database Systems 2020 (2020)

    Google Scholar 

  11. Jimenez-Ruiz, E., Grau, B.C., Cross, V.: LogMap family participation in the OAEI 2018. In: Proceedings of the Twelfth International Workshop on Ontology Matching, OM-2018, pp. 187–191 (2018)

    Google Scholar 

  12. Khattak, A.M., et al.: Mapping evolution of dynamic web ontologies. Inform. Sci. 303, 101–119 (2015). https://doi.org/10.1016/j.ins.2014.12.040

    Article  MathSciNet  MATH  Google Scholar 

  13. Kondylakis, H., Plexousakis, D.: Ontology evolution without tears. J. Web Semant. 19, 42–58 (2013)

    Article  Google Scholar 

  14. Kozierkiewicz, A., Pietranik, M.: A formal framework for the ontology evolution. In: Nguyen, N.T., Gaol, F.L., Hong, T.-P., Trawiński, B. (eds.) ACIIDS 2019. LNCS (LNAI), vol. 11431, pp. 16–27. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14799-0_2

    Chapter  Google Scholar 

  15. Qawasmeh, O., Lefrançois, M., Zimmermann, A., Maret, P.: Observing the impact and adaptation to the evolution of an imported ontology. In: IC3K 2019–11ht International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 11 pages (2019)

    Google Scholar 

  16. dos Reis, J.C.: Mapping refinement based on ontology evolution: a context-matching approach. In: ONTOBRAS, pp. 251–256 (2018)

    Google Scholar 

  17. Yamamoto, V.E., dos Reis, J.C.: Updating Ontology Alignments in Life Sciences based on New Concepts and their Context. Revista dos Trabalhos de Iniciacao Cientifica da UNICAMP, Campinas, SP, vol. 27 (2019)

    Google Scholar 

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Acknowledgement

This research project was supported by grant No. 2017/26/D/ST6/00251 from the National Science Centre, Poland.

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Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Adrianna Kozierkiewicz & Marcin Pietranik

  2. School of Computer Science and Engineering, International University, Ho Chi Minh City, Vietnam

    Loan T. T. Nguyen

  3. Vietnam National University, Ho Chi Minh City, Vietnam

    Loan T. T. Nguyen

Authors
  1. Adrianna Kozierkiewicz
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  2. Marcin Pietranik
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  3. Loan T. T. Nguyen
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Corresponding author

Correspondence to Marcin Pietranik .

Editor information

Editors and Affiliations

  1. Clausthal University of Technology, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  2. Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  3. Johannes Kepler University of Linz, Linz, Austria

    Gabriele Kotsis

  4. IFS, Vienna University of Technology, Vienna, Wien, Austria

    A Min Tjoa

  5. Johannes Kepler University of Linz, Linz, Austria

    Ismail Khalil

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Kozierkiewicz, A., Pietranik, M., Nguyen, L.T.T. (2020). Updating Ontology Alignment on the Instance Level Based on Ontology Evolution. In: Hartmann, S., Küng, J., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2020. Lecture Notes in Computer Science(), vol 12392. Springer, Cham. https://doi.org/10.1007/978-3-030-59051-2_20

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  • DOI: https://doi.org/10.1007/978-3-030-59051-2_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59050-5

  • Online ISBN: 978-3-030-59051-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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