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Conference Papers Year : 2009

WIKITAAABLE: A semantic wiki as a blackboard for a textual case-based reasoning system

Jean Lieber
Pascal Molli
Emmanuel Nauer
Hala Skaf-Molli
Yannick Toussaint
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Abstract

Semantic wikis enable a community of users to produce formalized knowledge readable and usable by machines. To take one step further, one can use a semantic wiki as a blackboard allowing humans and machines to interact in order to build knowledge that is useful for both humans and machines. In this paper, we present a case study of the use of a semantic wiki (Semantic Media Wiki) as a blackboard to manage culinary data and knowledge. This case study is performed within the context of the TAAABLE application, a case-based reasoning web system aiming at solving cooking problems on the basis of existing recipes. With WIKITAAABLE, an evolution of TAAABLE based on a semantic wiki, we show how a semantic wiki assists users in their knowledge management tasks by taking into account user feedback. The issues related to the integration of several knowledge management mechanisms in a single application are discussed at the end of the paper.

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Other [cs.OH]
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Dates and versions

inria-00432353 , version 1 (16-11-2009)

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  • HAL Id : inria-00432353 , version 1

Cite

Amélie Cordier, Jean Lieber, Pascal Molli, Emmanuel Nauer, Hala Skaf-Molli, et al.. WIKITAAABLE: A semantic wiki as a blackboard for a textual case-based reasoning system. SemWiki 2009 - 4rd Semantic Wiki Workshop at the 6th European Semantic Web Conference - ESWC 2009, Jun 2009, Heraklion, Greece. ⟨inria-00432353⟩
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