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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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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