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OTM Confederated International Conferences "On the Move to Meaningful Internet Systems"

OTM 2008: On the Move to Meaningful Internet Systems: OTM 2008 Workshops pp 646–655Cite as

Tuning Topical Queries through Context Vocabulary Enrichment: A Corpus-Based Approach

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5333))

Abstract

Context-based Web search has become an important research area and many strategies have been proposed to reflect contextual information in search queries. Despite the success of some of these proposals they still have serious limitations due to their inability to bridge the terminology gap existing between the user context description and the relevant documents’ vocabulary. This paper presents a quantitative technique to learn vocabularies useful for describing the theme of a context under analysis. The enriched vocabulary allows the formulation of search queries to identify resources with higher precision than those identified using the initial vocabulary. Rigorous experimentation leads us to conclude that the proposed technique is superior to a baseline and other well-known query reformulation techniques.

This research work is supported by Agencia Nacional de Promoción Científica y Tecnológica (PICT 2005 Nro. 32373) and Universidad Nacional del Sur (PGI 24/ZN13).

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Author information

Authors and Affiliations

  1. Grupo de Investigación en Recuperación de Información y Gestión del Conocimiento, LIDIA - Laboratorio de Investigación y Desarrollo en Inteligencia Artificial, Departamento de Ciencias e Ingeniería de la Computación, Universidad Nacional del Sur, Av. Alem 1253, (B8000CPB) Bahía Blanca, Argentina, CONICET - Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina

    Carlos M. Lorenzetti & Ana G. Maguitman

Authors
  1. Carlos M. Lorenzetti
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  2. Ana G. Maguitman
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Editor information

Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB),, Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, VIC 3001, Melbourne, Australia

    Zahir Tari

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, Boadilla del Monte, 28660, Madrid, Spain

    Pilar Herrero

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Lorenzetti, C.M., Maguitman, A.G. (2008). Tuning Topical Queries through Context Vocabulary Enrichment: A Corpus-Based Approach. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2008 Workshops. OTM 2008. Lecture Notes in Computer Science, vol 5333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88875-8_88

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  • DOI: https://doi.org/10.1007/978-3-540-88875-8_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88874-1

  • Online ISBN: 978-3-540-88875-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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