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

Publikation: Chapter

4 Zitate (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.

Originalsprache	English
Titel	Comparative Evaluation of XML Information Retrieval Systems
Untertitel	5th International Workshop of the Initiative for the Evaluation of XML Retrieval
Herausgeber (Verlag)	Springer Berlin Heidelberg
Seiten	64-72
Seitenumfang	9
ISBN (elektronisch)	9783540738886
ISBN (Print)	9783540738879
DOIs	https://doi.org/10.1007/978-3-540-73888-6_7
Publikationsstatus	Published - 18 Aug. 2007

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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 (S. 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)",

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doi = "10.1007/978-3-540-73888-6\_7",

language = "English",

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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, S. 64-72. https://doi.org/10.1007/978-3-540-73888-6_7

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AU - Watt, Stuart

AU - Harper, David

AU - Clark, Malcolm

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N2 - 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.

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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ER -

Compact Representations in XML Retrieval

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