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Mining Intelligence and Knowledge Exploration pp 640–651Cite as

Tuning of Expansion Terms by PRF and WordNet Integrated Approach for AQE

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8284))

Abstract

Vocabulary mismatch in Information retrieval can be solved by Query Expansion (QE) techniques. Relevance feedback is a prominent solution to improve recall of retrieval system. Sometimes user may be reluctant and novice in providing feedback to improve the retrieval performance. Pseudo Relevance Feedback (PRF) automates the process. PRF treats top ranked resultant items are relevant and uses them to expand the query, which is not always correct. PRF by local analysis does not give guarantee to feedback positive terms to the system. Use of global analysis to capture the positive feedback is a regular practice in information retrieval process. This paper addresses the limitations of local analysis and global analysis alone by a novel approach that integrates both PRF and WordNet to select good expansion terms. The proposed solution filters the expansion terms and optimizes the expanded query. The proposed work is carried out on a huge Telugu text corpus collected from Wikipedia and other Telugu daily news portals.

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Author information

Authors and Affiliations

  1. Department of IT & Department of CSE, SWEC & JNTUH College of Engineering, Hyderabad, India

    Ramakrishna Kolikipogu & B. Padmaja Rani

Authors
  1. Ramakrishna Kolikipogu
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  2. B. Padmaja Rani
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Editor information

Editors and Affiliations

  1. Department of Business Information Systems, FSIC, National University of Ireland, University College Cork, O’Rahilly Buildings, Cork, Ireland

    Rajendra Prasath

  2. Research Centre in Computer Science, V.H.N.Senthikumara Nadar College (Autonomous), 626 001, Virudhunagar, Tamil Nadu, India

    T. Kathirvalavakumar

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Kolikipogu, R., Rani, B.P. (2013). Tuning of Expansion Terms by PRF and WordNet Integrated Approach for AQE. In: Prasath, R., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8284. Springer, Cham. https://doi.org/10.1007/978-3-319-03844-5_63

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  • DOI: https://doi.org/10.1007/978-3-319-03844-5_63

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03843-8

  • Online ISBN: 978-3-319-03844-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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