Christian Sauer has been selected as the winner of?the award for the?best refereed application paper alongside his computing supervisor Professor Thomas Roth-Berghofer at the SGAI International Conference on Artificial Intelligence (AI-2011). Christian presented the paper at the conference at Peterhouse College in Cambridge on 15 December 2011.
Web Community?Knowledge Extraction for myCBR 3
Reference: Christian Severin Sauer and Thomas Roth-Berghofer. Web community knowledge extraction for myCBR 3. In Max Bramer, Miltos Petridis, and Lars Nolle, editors, Research and Development in Intelligent Systems XXVIII. Proceedings of AI-2011. The Thirty-first SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer, 2011.
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.