Abstract
Merging ontologies enables the reusability and interoperability of existing knowledge. With growing numbers of relevant ontologies in any given domain, there is a strong need for an automatic, scalable multi-ontology merging tool. We introduce \(\mathcal {C}\)o\(\mathcal {M}\)erger, which covers four key aspects of the ontology merging field: compatibility checking of the user-selected Generic Merge Requirements (GMR)s, merging multiple ontologies with adjustable GMRs, quality assessment of the merged ontology, and inconsistency handling of the result. \(\mathcal {C}\)o\(\mathcal {M}\)erger is freely accessible through a live portal and the source code is publicly distributed.
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Notes
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The tool can read a set of RDF alignment type, containing the similarity relations between entities with at least a given similarity value.
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References
Chiticariu, L., Kolaitis, P.G., Popa, L.: Interactive generation of integrated schemas. In: ACM SIGMOD, pp. 833–846 (2008)
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, pp. 154–168. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11587-0_16
Priya, M., Ch, A.K.: A novel method for merging academic social network ontologies using formal concept analysis and hybrid semantic similarity measure. Library Hi Tech (2019)
Priya, M., Kumar, C.A.: An approach to merge domain ontologies using granular computing. Granular Comput. 1–26 (2019). ISSN: 23644966. https://doi.org/10.1007/s41066-019-00193-3
Raunich, S., Rahm, E.: Target-driven merging of taxonomies with atom. Inf. Syst. 42, 1–14 (2014)
Noy, N.F., Musen, M.A.: The prompt suite: interactive tools for ontology merging and mapping. IJHCS 59(6), 983–1024 (2003)
Babalou, S., König-Ries,B.: GMRs: reconciliation of generic merge requirements in ontology integration. In: SEMANTICS Poster and Demo (2019)
Babalou, S., König-Ries, B.: Towards building knowledge by merging multiple ontologies with CoMerger: a partitioning-based approach. http://arxiv.org/abs/2005.02659
Babalou, S., Grygorova, E., König-Ries, B.: How good is this merged ontology?. In: 17th Extended Semantic Web Conference (ESWC 2020), Poster and Demo Track, June 2020
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.A., Meersman, R. (eds.) OTM 2019. LNCS, vol. 11877, pp. 588–606. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-33246-4_37
Algergawy, A., Babalou, S., Kargar, M.J., Davarpanah, S.H.: Seecont: a new seeding-based clustering approach for ontology matching. In: ADBIS, pp. 245–258 (2015)
Jaccard, P.: Étude comparative de la distribution florale dans une portion des alpes et des jura. Bull Soc. Vaudoise Sci. Nat. 37, 547–579 (1901)
Acknowledgments
S. Babalou is supported by a scholarship from German Academic Exchange Service (DAAD).
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Babalou, S., Grygorova, E., König-Ries, B. (2020). \(\mathcal {C}\)o\(\mathcal {M}\)erger: A Customizable Online Tool for Building a Consistent Quality-Assured 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_4
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