Belief Merging-based Case Combination
Identifieur interne : 001224 ( Hal/Corpus ); précédent : 001223; suivant : 001225Belief Merging-based Case Combination
Auteurs : Julien Cojan ; Jean LieberSource :
English descriptors
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
Hal:inria-00421724Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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<hal api="V3"><titleStmt><title xml:lang="en">Belief Merging-based Case Combination</title>
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<idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno>
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<notesStmt><note type="commentary">The original publication is available at www.springerlink.com</note>
<note type="audience" n="2">International</note>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Belief Merging-based Case Combination</title>
<author role="aut"><persName><forename type="first">Julien</forename>
<surname>Cojan</surname>
</persName>
<email>julien.cojan@loria.fr</email>
<idno type="halAuthorId">142238</idno>
<affiliation ref="#struct-2358"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Jean</forename>
<surname>Lieber</surname>
</persName>
<email>lieber@loria.fr</email>
<idno type="halAuthorId">129881</idno>
<orgName ref="#struct-364475"></orgName>
<affiliation ref="#struct-2358"></affiliation>
</author>
</analytic>
<monogr><meeting><title>8th International Conference on Case-Based Reasoning - ICCBR 2009</title>
<date type="start">2009-07-20</date>
<date type="end">2009-10-23</date>
<settlement>Seattle</settlement>
<country key="US">United States</country>
</meeting>
<editor>David C. Wilson and Lorraine McGinty</editor>
<imprint><publisher>Springer Berlin</publisher>
<biblScope unit="serie"></biblScope>
<biblScope unit="volume">5650</biblScope>
<biblScope unit="pp">105-119</biblScope>
<date type="datePub">2009-07-10</date>
</imprint>
</monogr>
<idno type="doi">10.1007/978-3-642-02998-1_9</idno>
<ref type="publisher">http://www.springerlink.com/content/m804jw7475264553/?p=59fccae04c444e1a942ed69d86221e19&pi=8</ref>
</biblStruct>
</sourceDesc>
<profileDesc><langUsage><language ident="en">English</language>
</langUsage>
<textClass><keywords scheme="author"><term xml:lang="en">Case Combination</term>
<term xml:lang="en">Belief Merging</term>
<term xml:lang="en">Credible Case-Based Inference</term>
</keywords>
<classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
</textClass>
<abstract xml:lang="en">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.</abstract>
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