Case-Based Reasoning on E-Community Knowledge
In: ICCBR 2013-21st International Conference on Case-Based Reasoning ICCBR 2013-21st International Conference on Case-Based Reasoning, Jul 2013, Saratoga Springs, NY, United States. pp.104-118, ⟨10.1007/978-3-642-39056-2_8⟩ Case-Based Reasoning Research and Development ISBN: 9783642390555 ICCBR; (2013-07-08)
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Zugriff:
International audience; 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.
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Case-Based Reasoning on E-Community Knowledge
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| Autor/in / Beteiligte Person: | Nauer, Emmanuel ; Naudet, Yannick ; Gaillard, Emmanuelle ; Lieber, Jean ; Knowledge representation, reasonning (ORPAILLEUR) ; Inria Nancy - Grand Est ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD) ; Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) ; Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) ; Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL) ; Centre de Recherche Public Henri Tudor [Kalchesbrëck] (CRP Henri Tudor) ; Centre de Recherche Public Henri-Tudor [Luxembourg] (CRP Henri-Tudor) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS) |
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| Quelle: | ICCBR 2013-21st International Conference on Case-Based Reasoning ICCBR 2013-21st International Conference on Case-Based Reasoning, Jul 2013, Saratoga Springs, NY, United States. pp.104-118, ⟨10.1007/978-3-642-39056-2_8⟩ Case-Based Reasoning Research and Development ISBN: 9783642390555 ICCBR; (2013-07-08) |
| Veröffentlichung: | HAL CCSD, 2013 |
| Medientyp: | unknown |
| ISBN: | 978-3-642-39055-5 (print) |
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