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A Collaborative Approach for FCA-Based Knowledge Extraction

My Thao Tang 1 Yannick Toussaint 1 
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : In this paper, we propose an approach for an FCA-based knowledge extraction process relying on the collaboration between humans and machines. Evaluation of the results is performed on the lattice by experts through an interactive process where they may specify their wishes for changes using a set of prede fined operations. Thus, the system then may suggest several strategies to reach their goal. In such an interactive and iterative process, the system converges towards a knowledge model close to the experts' needs. We illustrate the process on a small preliminary experiment.
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Submitted on : Wednesday, November 20, 2013 - 1:18:24 PM
Last modification on : Friday, August 5, 2022 - 3:50:42 AM
Long-term archiving on: : Friday, February 21, 2014 - 4:29:12 AM


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  • HAL Id : hal-00906814, version 1


My Thao Tang, Yannick Toussaint. A Collaborative Approach for FCA-Based Knowledge Extraction. CLA - The Tenth International Conference on Concept Lattices and Their Applications - 2013, Oct 2013, La Rochelle, France. ⟨hal-00906814⟩



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