Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
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SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
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INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
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INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
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UIDIS '01 Proceedings of the Second International Workshop on User Interfaces to Data Intensive Systems (UIDIS'01)
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IEEE Transactions on Software Engineering
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Intelligent Decision Technologies - Knowledge Visualization
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Today's web search engines return very large result sets for query formulations consisting of few specific keywords. Results are presented as ranked lists containing textual description of found items. Such representations do not allow identification of topical clusters, and consequentially make it difficult for users to refine queries efficiently.In this paper, we present WebRat, a framework for web-based retrieval, clustering and visualisation which enables parallel querying of multiple search engines, merging of retrieved result sets, automatic identification of topical clusters and interactive visualisation of the result sets and clusters for query refinement. This framework is lightweight in the sense that it consists of a small, platform-independent component which can be easily integrated into exisiting Internet or Intranet search forms without requiring specific system environments, server resources or precalculation efforts.The WebRat system extends existing approaches to web search result visualisation in many aspects: Found results are added incrementally as they arrive, labelling is performed in 2-dimensional space on clusters the user can see and rendering is optimised to provide sufficient performance on standard office machines.The WebRat framework has been used to implement a variety of applications: We have provided enhanced web search capabilities for users doing scientific research. Overview and refinement capabilities have been implemented for the environmental domain. Finally, abstracts generated on the fly by a knowledge management system have been used to provide topical navigation capabilities to developers searching for technical information in mailing list archives.