Abstract
This paper analyzes and evaluates, in the context of Ontology learning, some techniques to identify and extract candidate terms to classes of a taxonomy. Besides, this work points out some inconsistencies that may be occurring in the preprocessing of text corpus, and proposes techniques to obtain good terms candidate to classes of a taxonomy.
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References
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284(5), 34–43 (2001)
Codina, L., Marcos, M.C., Pedraza-Jimenez, R. (coords.): Web semántica y sistemas de información documental. Trea (2009)
RDF Working Group. Resource Description Framework (RDF) (2004), http://www.w3.org/rdf
Pedraza-Jimenez, R., Codina, L., Rovira, C.: Web semántica y ontologías en el procesamiento de la información documental. El Profesional de la Información 16(6), 569–578 (2007)
OWL Working Group. OWL Web Ontology Language (2004), http://www.w3.org/2004/owl
Codina, L., Rovira, C.: La Web semántica. In: Tramullas, J., (eds). Tendencias en documentación digital, ch. 1. Trea (2006)
Pedraza-Jimenez, R., Codina, L., Rovira, C.: Semantic web adoption: online tools for web evaluation and metadata extraction. In: The 8th International FLINS Conference on Computational Intelligence in Decision and Control, Madrid (2008)
Feigenbaum, L., Herman, I., Hongsermeier, T., Neumann, E., Stephens, S.: The Semantic Web in Action. Scientific American 297(6), 90–97 (2007)
Maedche, A., Staab, S.: Ontology learning for the Semantic Web. IEEE Intelligent Systems 16(2), 72–79 (2001)
Maedche, A., Staab, S.: Ontology learning. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, pp. 173–189. Springer, Heidelberg (2003)
Buitelaar, P., Cimiando, P., Magnini, B.: Ontology Learning from Text: Methods, Evaluation and Applications. Frontiers in Artificial Intelligence and Applications Series, vol. 123. IOS Press, Amsterdam (2005)
Gómez-Pérez, A., Manzano-Macho, D.: An overview of methods and tools for ontology learning from texts. The Knowledge Engineering Review 9(3), 187–212 (2005)
Vallez, M., Pedraza-Jimenez, R.: Natural Language Processing in Textual Information Retrieval and Related Topics. “Hipertext.net”, 5 (2007), http://www.hipertext.net/english/pag1025.htm
Hotho, A., Staab, S., Stumme, G.: Explaining text clustering results using semantic structures. In: Lavrač, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) PKDD 2003. LNCS (LNAI), vol. 2838, pp. 217–228. Springer, Heidelberg (2003)
Beckwith, R., Miller, G.A., Tengi, R.: Design and Implementation of the WordNet Lexical Database and Searching Software. Description of WordNet. Technical report (1993)
Miller, G.: WordNet: A lexical database for english. Communications of the ACM 38(11) (1995)
Chisholm, E., Kolda, T.: New term weighting formulas for the vector space method in information retrieval. Technical report, Oak Ridge National Laboratory (1999)
Church, K.W., Hanks, P.: Word association norms, mutual information, and lexicography. Computational Linguistics 16(1), 22–29 (1990)
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Pedraza-Jimenez, R., Vallez, M., Codina, L., Rovira, C. (2010). Analysis and Evaluation of Techniques for the Extraction of Classes in the Ontology Learning Process. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13033-5_50
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DOI: https://doi.org/10.1007/978-3-642-13033-5_50
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