Abstract
Identifying alignments between ontologies has become a central knowledge engineering activity. In ontology matching the same word placed in different textual contexts assumes completely different meanings. This paper proposes an algorithm for ontologies alignment named XMap ++ (eXtensible Mapping), applied in an ontology mapping context. In XMap++ the measurement of lexical similarity in ontology matching is performed using synset, defined in WordNet. In our approach, the similarity between two entities of different ontologies is evaluated not only by investigating the semantics of the entities names, but also taking into account the context, through which the effective meaning is described. We provide experimental results that measure the accuracy of our algorithm based on our participation with two versions (XMapSig and XMapGen) at the OAEI campaign 2013.
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Djeddi, W.E., Khadir, M.T. (2014). A Novel Approach Using Context-Based Measure for Matching Large Scale Ontologies. In: Bellatreche, L., Mohania, M.K. (eds) Data Warehousing and Knowledge Discovery. DaWaK 2014. Lecture Notes in Computer Science, vol 8646. Springer, Cham. https://doi.org/10.1007/978-3-319-10160-6_29
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DOI: https://doi.org/10.1007/978-3-319-10160-6_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10159-0
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