@book{
 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)},
 pages = {587-600},
 volume = {3155},
 id = {fe010dd7-74ca-37da-af8e-1a5f0011bff6},
 created = {2016-03-23T11:20:15.000Z},
 file_attached = {false},
 profile_id = {7ff3d559-34c5-3dc7-a15e-4809d39e6685},
 last_modified = {2017-03-28T19:10:31.050Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 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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