Case-Based Reasoning on E-Community Knowledge
Identifieur interne : 001638 ( Main/Merge ); précédent : 001637; suivant : 001639Case-Based Reasoning on E-Community Knowledge
Auteurs : Emmanuelle Gaillard [France] ; Jean Lieber [France] ; Yannick Naudet [Luxembourg (pays)] ; Emmanuel Nauer [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: This paper presents MKM, a meta-knowledge model to manage knowledge reliability, in order to extend a CBR system so that it can reason on partially reliable, non expert, knowledge from the Web. Knowledge reliability is considered from the point of view of the decision maker using the CBR system. It is captured by the MKM model including notions such as belief, trust, reputation and quality, as well as their relationships and rules to evaluate knowledge reliability. We detail both the model and the associated approach to extend CBR. Given a problem to solve for a specific user, reliability estimation is used to filter knowledge with high reliability as well as to rank the results produced by the CBR system, ensuring the quality of results.
Url:
DOI: 10.1007/978-3-642-39056-2_8
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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author></analytic><idno type="DOI">10.1007/978-3-642-39056-2_8</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents MKM, a meta-knowledge model to manage knowledge reliability, in order to extend a CBR system so that it can reason on partially reliable, non expert, knowledge from the Web. Knowledge reliability is considered from the point of view of the decision maker using the CBR system. It is captured by the MKM model including notions such as belief, trust, reputation and quality, as well as their relationships and rules to evaluate knowledge reliability. We detail both the model and the associated approach to extend CBR. Given a problem to solve for a specific user, reliability estimation is used to filter knowledge with high reliability as well as to rank the results produced by the CBR system, ensuring the quality of results.</div></front></TEI></HAL><ISTEX><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Case-Based Reasoning on E-Community Knowledge</title><author><name sortKey="Gaillard, Emmanuelle" sort="Gaillard, Emmanuelle" uniqKey="Gaillard E" first="Emmanuelle" last="Gaillard">Emmanuelle Gaillard</name></author><author><name sortKey="Lieber, Jean" sort="Lieber, Jean" uniqKey="Lieber J" first="Jean" last="Lieber">Jean Lieber</name></author><author><name sortKey="Naudet, Yannick" sort="Naudet, Yannick" uniqKey="Naudet Y" first="Yannick" last="Naudet">Yannick Naudet</name></author><author><name sortKey="Nauer, Emmanuel" sort="Nauer, Emmanuel" uniqKey="Nauer E" first="Emmanuel" last="Nauer">Emmanuel Nauer</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:8862D3BA03BC959DC24FC373724A3B1EC7484559</idno><date when="2013" year="2013">2013</date><idno type="doi">10.1007/978-3-642-39056-2_8</idno><idno type="url">https://api.istex.fr/ark:/67375/HCB-GP1LBBZ0-7/fulltext.pdf</idno><idno type="wicri:Area/Istex/Corpus">001F63</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001F63</idno><idno type="wicri:Area/Istex/Curation">001F37</idno><idno type="wicri:Area/Istex/Checkpoint">000252</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000252</idno><idno type="wicri:doubleKey">0302-9743:2013:Gaillard E:case:based:reasoning</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Case-Based Reasoning on E-Community Knowledge</title><author><name sortKey="Gaillard, Emmanuelle" sort="Gaillard, Emmanuelle" uniqKey="Gaillard E" first="Emmanuelle" last="Gaillard">Emmanuelle Gaillard</name><affiliation wicri:level="4"><country xml:lang="fr">France</country><wicri:regionArea>LORIA, Université de Lorraine, 54506, Vandoeuvre-lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement></placeName><orgName type="university">Université de Lorraine</orgName></affiliation><affiliation wicri:level="3"><country xml:lang="fr">France</country><wicri:regionArea>CNRS, 54506, Vandoeuvre-lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement></placeName></affiliation><affiliation wicri:level="3"><country xml:lang="fr">France</country><wicri:regionArea>Inria, 54602, Villers-lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Villers-lès-Nancy</settlement></placeName></affiliation></author><author><name sortKey="Lieber, Jean" sort="Lieber, Jean" uniqKey="Lieber J" first="Jean" last="Lieber">Jean Lieber</name><affiliation wicri:level="4"><country xml:lang="fr">France</country><wicri:regionArea>LORIA, Université de Lorraine, 54506, Vandoeuvre-lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement></placeName><orgName type="university">Université de Lorraine</orgName></affiliation><affiliation wicri:level="3"><country xml:lang="fr">France</country><wicri:regionArea>CNRS, 54506, Vandoeuvre-lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement></placeName></affiliation><affiliation wicri:level="3"><country xml:lang="fr">France</country><wicri:regionArea>Inria, 54602, Villers-lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Villers-lès-Nancy</settlement></placeName></affiliation></author><author><name sortKey="Naudet, Yannick" sort="Naudet, Yannick" uniqKey="Naudet Y" first="Yannick" last="Naudet">Yannick Naudet</name><affiliation wicri:level="1"><country xml:lang="fr">Luxembourg (pays)</country><wicri:regionArea>CRP Henri Tudor</wicri:regionArea></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Luxembourg (pays)</country></affiliation></author><author><name sortKey="Nauer, Emmanuel" sort="Nauer, Emmanuel" uniqKey="Nauer E" first="Emmanuel" last="Nauer">Emmanuel Nauer</name><affiliation wicri:level="4"><country xml:lang="fr">France</country><wicri:regionArea>LORIA, Université de Lorraine, 54506, Vandoeuvre-lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement></placeName><orgName type="university">Université de Lorraine</orgName></affiliation><affiliation wicri:level="3"><country xml:lang="fr">France</country><wicri:regionArea>CNRS, 54506, Vandoeuvre-lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement></placeName></affiliation><affiliation wicri:level="3"><country xml:lang="fr">France</country><wicri:regionArea>Inria, 54602, Villers-lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Villers-lès-Nancy</settlement></placeName></affiliation></author></analytic><monogr></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes in Computer Science</title><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: This paper presents MKM, a meta-knowledge model to manage knowledge reliability, in order to extend a CBR system so that it can reason on partially reliable, non expert, knowledge from the Web. Knowledge reliability is considered from the point of view of the decision maker using the CBR system. It is captured by the MKM model including notions such as belief, trust, reputation and quality, as well as their relationships and rules to evaluate knowledge reliability. We detail both the model and the associated approach to extend CBR. Given a problem to solve for a specific user, reliability estimation is used to filter knowledge with high reliability as well as to rank the results produced by the CBR system, ensuring the quality of results.</div></front></TEI></ISTEX></double></record>Pour manipuler ce document sous Unix (Dilib)
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