| Automatic identification of best entry points for focused structured document retrieval |
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Conference on Information and Knowledge Management
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Proceedings of the twelfth international conference on Information and knowledge management
table of contents
New Orleans, LA, USA
SESSION: Poster papers - short papers
table of contents
Pages: 540 - 543
Year of Publication: 2003
ISBN:1-58113-723-0
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Downloads (6 Weeks): 2, Downloads (12 Months): 25, Citation Count: 4
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ABSTRACT
Focussed structured document retrieval employs the concept of best entry points (BEPs), which are intended to provide optimal starting-points from which users can browse to relevant document components. This paper describes two small-scale studies, using experimental data from the Shakespeare user study, which developed and evaluated different approaches to the problem of automatic identification of BEPs.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Chiaramella, Y., Mulhem, P., and Fourel, F. A model for multimedia information retrieval, Technical Report Fermi ESPRIT BRA 8134, University of Glasgow, 1996.
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Hertzum, M., Lalmas, M., and Frokjaer, E. How are searching and reading intertwined during retrieval from hierarchically structured documents? in INTERACT, Japan, 2001.
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Kazai, G., Lalmas, M. and Reid, J. Construction of a test collection for the focussed retrieval of structured documents, in ECIR, Pisa, 2003.
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Lalmas, M., Reid, J. and Hertzum, M. Best Entry Points for Structured Document Retrieval. In preparation.
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Pithia, J. Best entry point algorithms for focussed structured document retrieval. MSc Project, Queen Mary University of London, 2002.
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Srigananathan, G. An investigation into methodologies for the automatic construction of test collections of XML structured documents, BSc Final Year Project, Queen Mary University of London, 2002.
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