A case study of structure processing to generate a case base. Gómez-Gauchía, H., Díaz-Agudo, B., & González-Calero, P. Volume 3155 , 2004.
abstract   bibtex   
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. © Springer-Verlag 2004.
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 title = {A case study of structure processing to generate a case base},
 type = {book},
 year = {2004},
 source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
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 pages = {587-600},
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 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. © Springer-Verlag 2004.},
 bibtype = {book},
 author = {Gómez-Gauchía, H. and Díaz-Agudo, B. and González-Calero, P.A.}
}
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