Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/45929
Title: Derivational analogy: Challenges and opportunities
Authors: Raphael, B. 
Issue Date: 2006
Source: Raphael, B. (2006). Derivational analogy: Challenges and opportunities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4200 LNAI : 545-553. ScholarBank@NUS Repository.
Abstract: Transformational analogy is currently more widely employed than derivational analogy in CBR applications, even though the latter has significant advantages over the former. The main reason for the reluctance to use derivational analogy is the complexity of representation. Other factors include issues related to retrieval and difficulties in system validation. Means of addressing these issues are described in this paper. Unique opportunities offered by the approach are illustrated with examples. © Springer-Verlag Berlin Heidelberg 2006.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/45929
ISBN: 3540462465
ISSN: 03029743
Appears in Collections:Staff Publications

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