Extraction of Adaptation Knowledge from Internet Communities.
Norman Ihle, Alexandre Hanft, Klaus‐Dieter Althoff · 2009
1 Acquiring knowledge for adaptation in CBR is an demanding task. This paper describes an ap-proach to make user experiences from an Inter-net community available for the adaptation. We worked in the cooking domain, where a huge number of Internet users share recipes, opinions on them and experiences with them. Because this is often expressed in informal language, in our approach we did not semantically analyze those posts, but used our already existing knowledge model to find relevant information. We classified the comments to make the extracted and classi-fied items usable as adaptation knowledge. The first results seem promising. 1