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European Semantic Web Conference

ESWC 2020: The Semantic Web: ESWC 2020 Satellite Events pp 13–18Cite as

How Good Is This Merged Ontology?

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12124))

Abstract

With the growing popularity of semantics-aware integration solutions, various ontology merging approaches have been proposed. Determining the success of these developments heavily depends on suitable evaluation criteria. However, no comprehensive set of evaluation criteria on the merged ontology exists so far. We develop criteria to evaluate the merged ontology. These criteria cover structure, function and usability of the merged ontology by evaluating General Merge Requirements (GMR)s, analyzing the intended use and semantics, and considering the ontology and entity annotation, respectively. We demonstrate the applicability of our criteria by providing empirical tests.

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Notes

  1. 1.

    http://comerger.uni-jena.de/requirement.jsp.

  2. 2.

    Datasets: https://github.com/fusion-jena/CoMerger/tree/master/EvaluationDataset.

  3. 3.

    https://github.com/fusion-jena/CoMerger/blob/master/EvaluationDataset/result.md.

References

  1. Finke, M.T., Filice, R.W., Kahn Jr., C.E.: Integrating ontologies of human diseases, phenotypes, and radiological diagnosis. J. Am. Med. Inform. Assoc. 26(2), 149–154 (2019)

    Article  Google Scholar 

  2. Livingston, K.M., Bada, M., Baumgartner, W.A., Hunter, L.E.: KaBOB: ontology-based semantic integration of biomedical databases. BMC Bioinform. 16, 1–21 (2015)

    Article  Google Scholar 

  3. Duque-Ramos, A., Fernández-Breis, J.T., Stevens, R., Aussenac-Gilles, N., et al.: OQuaRE: a SQuaRE-based approach for evaluating the quality of ontologies. JRPIT 43(2), 159 (2011)

    Google Scholar 

  4. Gangemi, A., Catenacci, C., Ciaramita, M., Lehmann, J.: Ontology evaluation and validation: an integrated formal model for the quality diagnostic task (2005). http://www.loa-cnr.it/Files/OntoEval4OntoDev_Final.pdf

  5. Ju, S.P., Esquivel, H.E., Rebollar, A.M., Su, M.C.: CreaDO-a methodology to create domain ontologies using parameter-based ontology merging techniques. In: MICAI, pp. 23–28. IEEE (2011)

    Google Scholar 

  6. Priya, M., Kumar, C.A.: An approach to merge domain ontologies using granular computing. Granular Comput. 1–26 (2019)

    Google Scholar 

  7. Raunich, S., Rahm, E.: Towards a benchmark for ontology merging. In: OTM Workshops, vol. 7567, pp. 124–133 (2012)

    Google Scholar 

  8. Mahfoudh, M., Forestier, G., Hassenforder, M.: A benchmark for ontologies merging assessment. In: KSEM, pp. 555–566 (2016)

    Google Scholar 

  9. Mahfoudh, M., Thiry, L., Forestier, G., Hassenforder, M.: Algebraic graph transformations for merging ontologies. In: Ait Ameur, Y., Bellatreche, L., Papadopoulos, G.A. (eds.) MEDI 2014. LNCS, vol. 8748, pp. 154–168. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11587-0_16

    Chapter  Google Scholar 

  10. Babalou, S., Konig-Ries, B.: GMRs: reconciliation of generic merge requirements in ontology integration. In: SEMANTICS Poster and Demo (2019)

    Google Scholar 

  11. Babalou, S., König-Ries, B.: A subjective logic based approach to handling inconsistencies in ontology merging. In: Panetto, H., Debruyne, C., Hepp, M., Lewis, D., Ardagna, C., Meersman, R. (eds.) OTM, pp. 588–606. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-33246-4_37

  12. Noy, N.F., Musen, M.A.: The PROMPT suite: interactive tools for ontology merging and mapping. IJHCS 59(6), 983–1024 (2003)

    Google Scholar 

  13. Poveda-Villalón, M., Gómez-Pérez, A., Suárez-Figueroa, M.C.: Oops! (ontology pitfall scanner!): an on-line tool for ontology evaluation. IJSWIS 10(2), 7–34 (2014)

    Google Scholar 

  14. Babalou, S., Grygorova, E., König-Ries, B.: CoMerger: a customizable online tool for building a consistent quality-assured merged ontology. In: 17th Extended Semantic Web Conference (ESWC 2020), Poster and Demo Track, June 2020

    Google Scholar 

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Acknowledgments

S. Babalou is supported by a scholarship from German Academic Exchange Service (DAAD).

Author information

Authors and Affiliations

  1. Heinz-Nixdorf Chair for Distributed Information Systems, Institute for Computer Science, Friedrich Schiller University Jena, Jena, Germany

    Samira Babalou, Elena Grygorova & Birgitta König-Ries

  2. Michael-Stifel-Center for Data-Driven and Simulation Science, Jena, Germany

    Birgitta König-Ries

Authors
  1. Samira Babalou
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  2. Elena Grygorova
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  3. Birgitta König-Ries
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Corresponding author

Correspondence to Samira Babalou .

Editor information

Editors and Affiliations

  1. University of Erlangen-Nuremberg, Nuremberg, Germany

    Andreas Harth

  2. National Research Council, Rome, Italy

    Valentina Presutti

  3. Eurecom, Sophia Antipolis, France

    Raphaël Troncy

  4. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Maribel Acosta

  5. Institute for Information Business at WU Wien, Vienna, Austria

    Axel Polleres

  6. Institute for Information Business at WU Wien, Vienna, Austria

    Javier D. Fernández

  7. Siemens AG Österreich, Vienna, Austria

    Josiane Xavier Parreira

  8. Linköping University, Linköping, Sweden

    Olaf Hartig

  9. Aalborg University, Aalborg, Denmark

    Katja Hose

  10. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Michael Cochez

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Babalou, S., Grygorova, E., König-Ries, B. (2020). How Good Is This Merged Ontology?. In: Harth, A., et al. The Semantic Web: ESWC 2020 Satellite Events. ESWC 2020. Lecture Notes in Computer Science(), vol 12124. Springer, Cham. https://doi.org/10.1007/978-3-030-62327-2_3

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  • DOI: https://doi.org/10.1007/978-3-030-62327-2_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62326-5

  • Online ISBN: 978-3-030-62327-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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