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Human-machine Collaboration for Enriching Semantic Wikis using Formal Concept Analysis

Alexandre Blansché 1 Hala Skaf-Molli 2 Pascal Molli 2 Amedeo Napoli 1 
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 SCORE - Services and Cooperation
Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services
Abstract : Semantic wikis are new generation of collaborative tools. They allow to embed semantic annotations in the wiki content. These annotations allow to better organize and structure the wiki contents. It is then possible for users to build knowledge understandable by humans and computers. By this way, machines are allowed to produce or update semantic wiki pages as humans can do. In this paper, we propose a new smart agent based on Formal Concept Analysis. This smart agent can compute automatically category trees based on defined semantic properties. In order to reduce human-machine collaboration problems, humans just validate changes proposed by the smart agent. A distributed version of wiki is used to ensure consistency of the content during the validation process.
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Submitted on : Thursday, November 29, 2012 - 10:35:21 AM
Last modification on : Saturday, June 25, 2022 - 7:40:12 PM


  • HAL Id : hal-00758679, version 1



Alexandre Blansché, Hala Skaf-Molli, Pascal Molli, Amedeo Napoli. Human-machine Collaboration for Enriching Semantic Wikis using Formal Concept Analysis. 5th Workshop on Semantic Wikis Linking Data and People - SemWiki2010, May 2010, Heraklion, Greece. ⟨hal-00758679⟩



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