TAAABLE: Text Mining, Ontology Engineering, and Hierarchical Classification for Textual Case-Based Cooking

Abstract : This paper presents how the Taaable project addresses the textual case-based reasoning challenge of the CCC, thanks to a combination of principles, methods, and technologies of various fields of knowledge-based system technologies, namely CBR, ontology engineering manual and semi-automatic), data and text-mining using textual resources of the Web, text annotation (used as an indexing technique), knowledge representation, and hierarchical classification. Indeed, to be able to reason on textual cases, indexing them by a formal representation language using a formal vocabulary has proven to be useful.
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Communication dans un congrès
Martin Schaaf. 9th European Conference on Case-Based Reasoning - ECCBR 2008, Workshop Proceedings, Sep 2008, Trier, Germany. pp.219--228, 2008
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Soumis le : vendredi 7 novembre 2008 - 15:50:19
Dernière modification le : jeudi 19 avril 2018 - 14:38:05
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  • HAL Id : inria-00337666, version 1

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Fadi Badra, Rokia Bendaoud, Rim Bentebibel, Pierre-Antoine Champin, Julien Cojan, et al.. TAAABLE: Text Mining, Ontology Engineering, and Hierarchical Classification for Textual Case-Based Cooking. Martin Schaaf. 9th European Conference on Case-Based Reasoning - ECCBR 2008, Workshop Proceedings, Sep 2008, Trier, Germany. pp.219--228, 2008. 〈inria-00337666〉

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