iSee

Stories, themes, concepts and references are organized structurally and purposefully in most books. But current e-Book browsers provide minimal support for comprehending the content of large and complex books. This research developed user interfaces that present and relate the organizational and narrative structures, and reveal the thematic structures to support reading for comprehension. We developed novel story segmentation techniques for discovering narrative segments, and adapted story linking techniques for linking narrative threads in semi-structured linear texts of an e-Book. The user interface presents the complex structures of the e-Book and assists the reader to discover these structures.     [More] Research Team David Harper (PI) Stuart Watt Yixing Sun Related Projects ProfileSkim — an intelligent document browser AmbieSense — ambient, personalised, and context-sensitive information systems for mobile users Facilitating Information Retrieval By User-Adaptive Learning SmartWeb — a centre of excellence for intelligent Web technologies WebCluster — mediated access to the web Personal Email Trainer (PET) Intelligent Websites

Posters

• ProfileSkim

Publications

Sun, Y., Harper, D. J., & Watt, S. N. K. (2005) Aiding Comprehension in Electronic Books Using Contextual Information, Proceedings of the 9th European Conference on Research and Advanced Technology for Digital Libraries (ECDL), pp. 504-506, Springer, DOI: http://dx.doi.org/10.1007/11551362_56

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.

Sun, Y. (2004). Discovering and Representing the Organizational and Narrative Structures of e-Books to Support Comprehension. Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 603.

Sun, Y., Harper, D., & Watt, S. (2004). Design of an e-book user interface and visualizations to support reading for comprehension. Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 510-511.

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.