ProfileSkim — an intelligent document browser |  |
ProfileSkim is a within document retrieval tool. Its main components are a 'relevance profile meter' that displays the relevance profile across the document for a query, and a document browser that supports highlighting of the query words. ProfileSkim's main function is to enable users to identify, efficiently and effectively, relevant passages of text within long documents. The tool integrates passage retrieval, content-based document browsing and an interactive user interface. An interactive bar graph provides an overview of this profile, and through interaction with the graph the user can select and browse in situ potentially relevant passages of the document. A user-centred, task-oriented experimental study confirmed the potential of relevance profiling for improving within-document retrieval, and the positive reaction of users to the interactive user interface. Interactive Relevance Profiling should prove highly beneficial for users trying to identify relevant information within long documents. [More] Partners
Funding
Research Team
Related Projects
Posters |
Profileskim was a medallist in the BCS IT Professional Technology Awards — Applications in 2005. Profileskim is available as an Acrobat Plug-in  |
Publications
Harper, D. J., Koychev, I., Sun, Y., & Pirie, I. (2004). Within-Document Retrieval: A User-Centred Evaluation of Relevance Profiling. In Journal of Information Retrieval, Kluwer, The Netherlands, Vol 7, pp. 265-290.
Harper, D. J., & Lee, D. (2004). On the Effectiveness of Relevance Profiling. In the Proceedings of the Ninth Australasian Document Computing Symposium, 13 December 2004, pp. 10-16.
Harper, D. J., Koychev, I., & Sun, Y. (2003). Query-based document skimming: a user-centred evaluation of relevance profiling. In the Proceedings of 25th European Conference on IR Research, Advances in Information Retrieval, LNCS 2633, April 14-16, 2003, pp. 377-392.
Harper, D. J., Coulthard, S., & Sun, Y. (2002). A language modelling approach to relevance profiling for document browsing. In the Proceedings of Second ACM/IEEE-CS Joint Conference on Digital Libraries, July 14-18, 2002, pp. 76-83.
 E-Mail |
 External Page |
 PDF file |
 Word File |