Belief Merging-Based Case Combination
Identifieur interne : 003B43 ( Istex/Corpus ); précédent : 003B42; suivant : 003B44Belief Merging-Based Case Combination
Auteurs : Julien Cojan ; Jean LieberSource :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: Integrity constraint belief merging aims at producing from several knowledge bases, that may be mutually inconsistent, a synthetic knowledge base satisfying a given integrity constraint. It is applied here to case combination for case-based reasoning. This approach is shown to extend Eyke Hüllermeier’s credible case-based inference and to be reducible under some assumptions to linear programming.
Url:
DOI: 10.1007/978-3-642-02998-1_9
Links to Exploration step
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<Para>Integrity constraint belief merging aims at producing from several knowledge bases, that may be mutually inconsistent, a synthetic knowledge base satisfying a given integrity constraint. It is applied here to case combination for case-based reasoning. This approach is shown to extend Eyke Hüllermeier’s credible case-based inference and to be reducible under some assumptions to linear programming.</Para>
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<affiliation>Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin,, Computer Science Building, Belfield, Dublin 4, Ireland</affiliation>
<affiliation>E-mail: lorraine.mcginty@ucd.ie</affiliation>
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<name type="personal"><namePart type="given">David</namePart>
<namePart type="given">C.</namePart>
<namePart type="family">Wilson</namePart>
<affiliation>Department of Software and Information Systems, College of Computing and Informatics, University of North Carolina at Charlotte, 9201 University City Boulevard, NC 28223-0001, Charlotte, USA</affiliation>
<affiliation>E-mail: davils@uncc.edu</affiliation>
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<identifier type="ISSN">0302-9743</identifier>
<identifier type="eISSN">1611-3349</identifier>
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