Paper Info
Title
Prototypical Cases for Knowledge Maintenance in Biomedical CBR
Abstract
Representing biomedical knowledge is an essential task in biomedical informatics intelligent systems. Case-based reasoning (CBR) holds the promise to represent contextual knowledge in a way that was not possible before with traditional knowledge-based methods. One main issue in biomedical CBR is dealing with the rate of generation of new knowledge in biomedical fields, which often makes the content of a case base partially obsolete. This article proposes to make use of the concept of prototypical case to ensure that a CBR system would keep up-to-date with current research advances in the biomedical field. Prototypical cases have served various purposes in biomedical CBR systems, among which to organize and structure the memory, to guide the retrieval as well as the reuse of cases, and to serve as bootstrapping a CBR system memory when real cases are not available in sufficient quantity and/or quality. This paper presents knowledge maintenance as another role that these prototypical cases can play in biomedical CBR systems.
Year
DOI
Venue
2007
10.1007/978-3-540-74141-1_34
ICCBR
Keywords
Field
DocType
prototypical case,cbr system,knowledge maintenance,biomedical informatics,biomedical cbr,cbr system memory,contextual knowledge,biomedical field,prototypical cases,biomedical knowledge,biomedical cbr system,case base reasoning,traditional knowledge,knowledge base
Data mining,Traditional knowledge,Intelligent decision support system,Reuse,Computer science,Bootstrapping,Knowledge maintenance,Case base,Health informatics
Conference
Volume
ISSN
Citations 
4626
0302-9743
7
PageRank 
References 
Authors
0.51
20
1
Name
Order
Citations
PageRank
Isabelle Bichindaritz153255.74