Man-machine collaboration to acquire adaptation knowledge for a case-based reasoning system - Archive ouverte HAL
Communication Dans Un Congrès Année : 2012

Man-machine collaboration to acquire adaptation knowledge for a case-based reasoning system

Emmanuelle Gaillard
  • Fonction : Auteur
  • PersonId : 765221
  • IdRef : 197149065
Emmanuel Nauer

Résumé

This paper shows how humans and machines can better collaborate to acquire adaptation knowledge (AK) in the framework of a case-based reasoning (CBR) system whose knowledge is encoded in a semantic wiki. Automatic processes like the CBR reasoning process itself, or specific tools for acquiring AK are integrated as wiki extensions. These tools and processes are combined on purpose to collect AK. Users are at the center of our approach, as they are in a classical wiki, but they will now benefit from automatic tools for helping them to feed the wiki. In particular, the CBR system, which is currently only a consumer for the knowledge encoded in the semantic wiki, will also be used for producing knowledge for the wiki. A use case in the domain of cooking is given to exemplify the man-machine collaboration.

Dates et versions

hal-01352987 , version 1 (10-08-2016)

Identifiants

Citer

Amélie Cordier, Emmanuelle Gaillard, Emmanuel Nauer. Man-machine collaboration to acquire adaptation knowledge for a case-based reasoning system. WWW 2012 – SWCS'12 Workshop, Apr 2012, Lyon, France. pp.1113-1120, ⟨10.1145/2187980.2188249⟩. ⟨hal-01352987⟩
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