Abstract
Although Case-based Reasoning is supposed to alleviate the well known knowledge acquisition bottleneck for knowledge-based systems, case acquisition remains an expensive process. In this paper we present a semiautomatic methodology for building an ontology-based organization of the Case Base and to populate it with cases extracted from structured documents. The methodology is analyzed through the case study of a help desk system.
Supported by the Spanish Committee of Science & Technology (TIC2002-01961)
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Gómez-Gauchía, H., Díaz-Agudo, B., González-Calero, P.A. (2004). A Case Study of Structure Processing to Generate a Case Base. In: Funk, P., González Calero, P.A. (eds) Advances in Case-Based Reasoning. ECCBR 2004. Lecture Notes in Computer Science(), vol 3155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28631-8_43
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DOI: https://doi.org/10.1007/978-3-540-28631-8_43
Publisher Name: Springer, Berlin, Heidelberg
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