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Building up Shared Knowledge with Logical Information Systems

Mireille Ducassé 1, * Sébastien Ferré 1 Peggy Cellier 1
* Corresponding author
1 LIS - Logical Information Systems
Abstract : Logical Information Systems (LIS) are based on Logical Concept Analysis, an extension of Formal Concept Analysis. This paper describes an application of LIS to support group decision. A case study gathered a research team. The objective was to decide on a set of potential conferences on which to send submissions. People individually used Abilis, a LIS web server, to preselect a set of conferences. Starting from 1041 call for papers, the individual participants preselected 63 conferences. They met and collectively used Abilis to select a shared set of 42 target conferences. The team could then sketch a publication planning. The case study provides evidence that LIS cover at least three of the collaboration patterns identified by Kolfschoten, de Vreede and Briggs. Abilis helped the team to build a more complete and relevant set of information (Generate/Gathering pattern); to build a shared understanding of the relevant information (Clarify/Building Shared Understanding); and to quickly reduce the number of target conferences (Reduce/Filtering pattern).
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Submitted on : Friday, November 23, 2012 - 1:36:02 PM
Last modification on : Tuesday, October 19, 2021 - 11:58:50 PM
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  • HAL Id : hal-00756627, version 1


Mireille Ducassé, Sébastien Ferré, Peggy Cellier. Building up Shared Knowledge with Logical Information Systems. 8th International Conference on Concept Lattices and their Applications, 2011, Nancy, France. ⟨hal-00756627⟩



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