Compact Representations in XML Retrieval

Fang Huang; Stuart Watt; David Harper; Malcolm Clark

doi:10.1007/978-3-540-73888-6_7

Compact Representations in XML Retrieval

Fang Huang, Stuart Watt, David Harper, Malcolm Clark

UHI Moray

Research output: Chapter in Book/Report/Conference proceeding › Chapter

4 Citations (Scopus)

Abstract

This paper describes the participation of the Information Retrieval and Interaction group of Robert Gordon University in the INEX 2006 ad hoc track. We focused on two questions: What potential evidence do human assessors use to identify relevant XML elements? and How can this evidence be used by computers for the same task? . Our main strategy was to investigate evidence taken not only from the content, but also from the shallow features of how texts were displayed. We employed the vector space model and the language model combining estimates based on element full-text and the compact representation of the element. We analyzed a range of non-content priors to boost retrieval effectiveness.

Original language	English
Title of host publication	Comparative Evaluation of XML Information Retrieval Systems
Subtitle of host publication	5th International Workshop of the Initiative for the Evaluation of XML Retrieval
Publisher	Springer Berlin Heidelberg
Pages	64-72
Number of pages	9
ISBN (Electronic)	9783540738886
ISBN (Print)	9783540738879
DOIs	https://doi.org/10.1007/978-3-540-73888-6_7
Publication status	Published - 18 Aug 2007

Publication series

Name	Comparative Evaluation of XML Information Retrieval Systems

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10.1007/978-3-540-73888-6_7

http://www.mendeley.com/research/compact-representations-xml-retrieval

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Huang, F., Watt, S., Harper, D., & Clark, M. (2007). Compact Representations in XML Retrieval. In Comparative Evaluation of XML Information Retrieval Systems: 5th International Workshop of the Initiative for the Evaluation of XML Retrieval (pp. 64-72). (Comparative Evaluation of XML Information Retrieval Systems). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-73888-6_7

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title = "Compact Representations in XML Retrieval",

abstract = "This paper describes the participation of the Information Retrieval and Interaction group of Robert Gordon University in the INEX 2006 ad hoc track. We focused on two questions: What potential evidence do human assessors use to identify relevant XML elements? and How can this evidence be used by computers for the same task? . Our main strategy was to investigate evidence taken not only from the content, but also from the shallow features of how texts were displayed. We employed the vector space model and the language model combining estimates based on element full-text and the compact representation of the element. We analyzed a range of non-content priors to boost retrieval effectiveness.",

author = "Fang Huang and Stuart Watt and David Harper and Malcolm Clark",

note = "{\textcopyright} Springer-Verlag Berlin Heidelberg 2007 Part of the Lecture Notes in Computer Science book series (LNCS, volume 4518)",

year = "2007",

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language = "English",

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series = "Comparative Evaluation of XML Information Retrieval Systems",

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Huang, F, Watt, S, Harper, D & Clark, M 2007, Compact Representations in XML Retrieval. in Comparative Evaluation of XML Information Retrieval Systems: 5th International Workshop of the Initiative for the Evaluation of XML Retrieval. Comparative Evaluation of XML Information Retrieval Systems, Springer Berlin Heidelberg, pp. 64-72. https://doi.org/10.1007/978-3-540-73888-6_7

Compact Representations in XML Retrieval. / Huang, Fang; Watt, Stuart; Harper, David et al.
Comparative Evaluation of XML Information Retrieval Systems: 5th International Workshop of the Initiative for the Evaluation of XML Retrieval. Springer Berlin Heidelberg, 2007. p. 64-72 (Comparative Evaluation of XML Information Retrieval Systems).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Compact Representations in XML Retrieval

AU - Huang, Fang

AU - Watt, Stuart

AU - Harper, David

AU - Clark, Malcolm

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AB - This paper describes the participation of the Information Retrieval and Interaction group of Robert Gordon University in the INEX 2006 ad hoc track. We focused on two questions: What potential evidence do human assessors use to identify relevant XML elements? and How can this evidence be used by computers for the same task? . Our main strategy was to investigate evidence taken not only from the content, but also from the shallow features of how texts were displayed. We employed the vector space model and the language model combining estimates based on element full-text and the compact representation of the element. We analyzed a range of non-content priors to boost retrieval effectiveness.

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BT - Comparative Evaluation of XML Information Retrieval Systems

PB - Springer Berlin Heidelberg

ER -

Compact Representations in XML Retrieval

Abstract

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