Exploiting BabelNet for generating subsumption

Abstract : Whereas the ontology matching field has developed fully in the last decades, most matching approaches are still limited to generating equivalences between entities of different ontologies. However, for many tasks, finding subsumption relations may be useful. Despite the variety of matching approaches in the literature, most of them rely on string-based techniques as an initial estimate of the likelihood that two elements refer to the same real world phenomenon, hence, the found correspondences represent equivalences with terms similarly written rather than subsumptions. This paper presents an approach relying on background knowledge from BabelNet (BN) [3] and on the notion of context. The latter has been exploited in different ways in ontology matching [2, 4]. They are used for disambiguating the senses that better express the meaning of ontology concepts when looking for subsumption relations between them in BN.
Keywords : Ontology matching
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Conference papers
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https://hal.archives-ouvertes.fr/hal-02089279
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Submitted on : Wednesday, April 3, 2019 - 3:52:52 PM
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  • HAL Id : hal-02089279, version 1
  • OATAO : 22671

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Mouna Kamel, Daniela Schmidt, Cassia Trojahn, Renata Vieira. Exploiting BabelNet for generating subsumption. 13th International Workshop on Ontology Matching co-located with the 17th ISWC (OM 2018), Oct 2018, Monterey, United States. pp.216-217. ⟨hal-02089279⟩

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