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Automatic identification of best entry points for focused structured document retrieval
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Source Conference on Information and Knowledge Management archive
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
Authors
Mounia Lalmas  University of London, London, UK
Jane Reid  University of London, London, UK
Sponsors
ACM: Association for Computing Machinery
SIGMIS: ACM Special Interest Group on Management Information Systems
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
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.

 
1
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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3
Hertzum, M., Lalmas, M., and Frokjaer, E. How are searching and reading intertwined during retrieval from hierarchically structured documents? in INTERACT, Japan, 2001.
 
4
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.
 
7
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.


Collaborative Colleagues:
Mounia Lalmas: colleagues
Jane Reid: colleagues