Gérer et exploiter des connaissances produites par une communauté en ligne -- Application au raisonnement à partir de cas

Emmanuelle Gaillard 1
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : This research work presents two approaches to improve the quality of the results returned by a case-based reasoning system (CBR) exploiting knowledge produced by an e-community. The first approach relies on a new model to manage the trustworthiness of the knowledge produced by the e community. In this model, the trustworthiness is represented through a score which is used to filter untrustworthy knowledge so that the CBR system will not use it anymore. Moreover, the trustworthiness score is also used to rank the CBR results. The second approach addresses the issue of representing the typicality between subclasses and classes in a hierarchy. The typicality is used to change the hierarchical organization used by the CBR system. Both approaches have been evaluated in the framework of eTaaable, a CBR system which adapts cooking recipes using knowledge coming from an e-community. The evaluations show that managing the trustworthiness of the knowledge produced by an e-community improves the quality of the results returned by eTaaable. The evaluations also shows that eTaaable returns also better results when using knowledge reorganized according to typicality.
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https://hal.inria.fr/tel-01754670
Contributor : Emmanuelle Gaillard <>
Submitted on : Monday, December 12, 2016 - 8:58:03 PM
Last modification on : Friday, January 25, 2019 - 1:21:37 AM
Long-term archiving on : Tuesday, March 28, 2017 - 12:58:01 AM

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  • HAL Id : tel-01754670, version 2

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Emmanuelle Gaillard. Gérer et exploiter des connaissances produites par une communauté en ligne -- Application au raisonnement à partir de cas . Informatique. Université de Lorraine, 2016. Français. ⟨NNT : 2016LORR0092⟩. ⟨tel-01754670v2⟩

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