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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Maedche, A., Staab, S.: Measuring Similarity between Ontologies. In: Proceedings of the European Conference on Knowledge Acquisition and Management - (EKAW 2002), Madrid, Spain, October 1-4, pp. 251–263 (2002)
Doan, A., Madhavan, J., Domingos, P., Halevy, A.: Learning to Map between Ontologies on the Semantic Web. In: Proceedings of the World-Wide Web Conference (WWW 2002), Honolulu, Hawaii, USA (May 2002)
Noy, N.F., Musen, M.A.: Anchor-PROMPT: Using Non-Local Context for Semantic Matching. In: Proceedings of the Workshop on Ontologies and Information Sharing at the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI 2001), Seattle, WA (August 2001)
Prasad, S., Peng, Y., Finin, T.: Using Explicit Information To Map Between Two Ontologies. In: Proceedings of the 1st International Joint Conference on Autonomous Agents and Multi-Agent Systems - Workshop on Ontologies in Agent Systems (OAS) - Bologna, Italy (July 15-19, 2002)
Levenshtein, V.: Binary Codes Capable of Correcting Deletions, Insertions and Reversals. Cybernetics and Control Theory 10(8), 707–710 (1966)
Chaves, M.S.: Comparação e Mapeamento de Similaridade entre Estruturas Ontológicas. Master’s thesis, PUCRS-FACIN-PPGCC (2004)
Orengo, V.M., Huyck, C.: A Stemming Algorithm for Portuguese Language. In: Proceedings of Eigth Symposium on String Processing and Information Retrieval (SPIRE 2001), pp. 186–193 (2001)
Chaves, M.S.: Um Estudo e Apreciação sobre Dois Algoritmos de Stemming para a Língua Portuguesa. In: Jornadas Iberoamericanas de Informática. Cartagena de Indias - Colômbia (CD-ROM) (August 11-15, 2003)
Chaves, M.S., de Lima, V.L.S.: Looking for Similarity between Portuguese Ontological Structures. In: Branco, A., Mendes, A., Ribeiro, R. (eds.), Edições Colibri, Lisboa (2004) (to appear)
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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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