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Man-machine collaboration to acquire cooking adaptation knowledge for the TAAABLE case-based reasoning system
Author(s) -
Amélie Cordier,
Emmanuelle Gaillard,
Emmanuel Nauer
Publication year - 2012
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2187980.2188249
Subject(s) - computer science , adaptation (eye) , case based reasoning , process (computing) , domain (mathematical analysis) , domain knowledge , knowledge based systems , semantic network , semantic web , human–computer interaction , artificial intelligence , world wide web , knowledge management , programming language , mathematical analysis , physics , mathematics , optics
International audienceThis 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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