Abstract
The current development of web communities and the Web 2.0 provide a huge amount of experiences. Making these experiences available as knowledge to be used in CBR systems is a current research effort. The process of extracting such knowledge from the diverse data types used in web communities and formalising it for CBR is not an easy task. In this paper we present the knowledge extraction workbench prototype KEWo and also review some of the challenges we were facing while integrating it into the case-based reasoning tool myCBR 3. © Springer-Verlag London Limited 2011.
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CITATION STYLE
Sauer, C., & Roth-Berghofer, T. (2011). Web community knowledge extraction for myCBR 3. In Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 239–252). Springer London. https://doi.org/10.1007/978-1-4471-2318-7_19
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