Abstract
The number of ontologies publicly available and accessible through the web has increased in the last years, so that the task of finding similar terms among these structures becomes mandatory. We depict the application and the evaluation of a new similarity measure for comparing Portuguese Ontological Structures (OSs) called Lexical Similarity (LS). This paper describes contributions to the study and application of mapping between terms present in multidomain OSs. In order to approach this mapping we combine preliminar similarity measures and heuristics. Our measure uses a stemmer, it is established upon String Matching (SM) proposed in [1] and it was evaluated by means of a comparison to human evaluation. Finally, we concentrate on the application of LS measure to terms belonging to same domain thesauri and discuss the results obtained.
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Chaves, M.S., de Lima, V.L.S. (2004). Applying a Lexical Similarity Measure to Compare Portuguese Term Collections. In: Bazzan, A.L.C., Labidi, S. (eds) Advances in Artificial Intelligence – SBIA 2004. SBIA 2004. Lecture Notes in Computer Science(), vol 3171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28645-5_20
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DOI: https://doi.org/10.1007/978-3-540-28645-5_20
Publisher Name: Springer, Berlin, Heidelberg
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