Abstract
The purpose of this paper is twofold. It describes a new similarity measure which is applied in a new ontology matching algorithm, OntoPhil that exploits both the lexical and structural information of the input ontologies. The different steps of the algorithm as well as some clarifying examples are also provided. In addition, OntoPhil is also compared and evaluated using the datasets from well-known Ontology Alignment Evaluation Initiative.
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Otero-Cerdeira, L., Rodríguez-Martínez, F.J., Valencia-Requejo, T., Gómez-Rodríguez, A. (2015). A New Similarity Measure for an Ontology Matching System. In: Fred, A., Dietz, J., Aveiro, D., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2014. Communications in Computer and Information Science, vol 553. Springer, Cham. https://doi.org/10.1007/978-3-319-25840-9_17
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DOI: https://doi.org/10.1007/978-3-319-25840-9_17
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