Semantic search results clustering

Authors:
Krzysztof Strzalka;Aleksander Zgrzywa
Affiliations:
Department of Information Systems, Wroclaw University of Technology, Poland;Department of Information Systems, Wroclaw University of Technology, Poland
Venue:
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
Year:
2010

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Abstract

Standard cluster algorithms learn without supervision (unsupervised learning), this approach allows users to impose the method of clustering concerning the preferred topic. The described method consists of the following stages: introduction of preferred topic, tagging the data based on topic and semantic relationships, using optimizing hierarchical clustering algorithm which uses the criterion function to determine the best partition method.