The effectiveness and efficiency of agglomerative hierarchic clustering in document retrieval
The effectiveness and efficiency of agglomerative hierarchic clustering in document retrieval
Recent trends in hierarchic document clustering: a critical review
Information Processing and Management: an International Journal
Full text indexing based on lexical relations an application: software libraries
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval
Scalable Internet resource discovery: research problems and approaches
Communications of the ACM
Beyond hyperlinks: organizing information footprints in search logs to support effective browsing
Proceedings of the 18th ACM conference on Information and knowledge management
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With the advent of digital libraries and of wide area networks, enormous amounts of textual information are made available all over the world: A typical example being the World Wide Web on the Internet. Searching and browsing are the two resource discovery paradigms mostly used to access this information [Bowman 94]. Information retrieval (IR) provides numerous sophisticated automatic indexing and storing techniques to support efficient searching and retrieval. In contrast, the organizing process that makes browsing possible, is typically done manually. The advances in automatic techniques for supporting the browsing discovery paradigms does not compare to those that support searching, in spite of the fact that browsing is classically the first paradigm used before searching.The issue we would like to address at the Institute is the issue of document organization which seems to have been neglected by the research community. This relates to the proposed issue of discussion: "What do we need to know about how people use electronic texts and how can we gain this knowledge and apply it to the development of digital libraries?" We would like to discuss organization by content as well as by other criteria such as fixed fields (author?, subject?, date?, etc.).