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

Amélie Cordier 1 Emmanuelle Gaillard Emmanuel Nauer
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : 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.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01352987
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Submitted on : Wednesday, August 10, 2016 - 4:17:56 PM
Last modification on : Friday, May 24, 2019 - 10:58:08 AM

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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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