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Investigating the exhaustivity dimension in content-oriented XML element retrieval evaluation
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Source Conference on Information and Knowledge Management archive
Proceedings of the 15th ACM international conference on Information and knowledge management table of contents
Arlington, Virginia, USA
SESSION: Evaluation table of contents
Pages: 84 - 93  
Year of Publication: 2006
ISBN:1-59593-433-2
Authors
Paul Ogilvie  Carnegie Mellon University, Pittsburgh, PA
Mounia Lalmas  Queen Mary, University of London, England, UK
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 40,   Citation Count: 4
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ABSTRACT

INEX, the evaluation initiative for content-oriented XML retrieval, has since its establishment defined the relevance of an element according to two graded dimensions, exhaustivity and specificity. The former measures how exhaustively an XML element discusses the topic of request, whereas specificity measures how focused the element is on the topic of request. The reason for having two dimensions was to provide a more stable measure of relevance than if assessors were asked to rate the relevance of an element on a single scale. However, obtaining relevance assessments is a costly task. as each document must be assessed for relevance by a human assessor. In XML retrieval this problem is exacerbated as the elements of the document must also be assessed with respect to the exhaustivity and specificity dimensions. A continuous discussion in INEX has been whether such a sophisticated definition of relevance, and in particular the exhaustivity dimension, was needed. This paper attempts to answer this question through extensive statistical tests to compare the conclusions about system performance that could be made under different assessment scenarios.


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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B. Piwowarski, A. Trotman and M. Lalmas. Sound and Complete Relevance Assessments for XML Retrieval. Submitted, 2006.
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A. Trotman. Wanted: Element retrieval users. INEX 2005 Workshop on Element Retrieval Methodology, pages 63--69, 2005.
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L. Wasserman. All of Statistics. Springer, 2004.


Collaborative Colleagues:
Paul Ogilvie: colleagues
Mounia Lalmas: colleagues