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An intelligent information retrieval agent

Published: 01 August 2008 Publication History

Abstract

To augment the information retrieval process, a model is proposed to facilitate simple contextual indexing for a large scale of standard text corpora. An edge index graph model is presented, which clusters documents based on a root index and an edge index created. Intelligent information retrieval is possible with the projected system where the process of querying provides proactive help to users through a knowledge base. The query is provided with automatic phrase completion and word suggestions. A thesaurus is used to provide meaningful search of the query. This model can be utilized for document retrieval, clustering, and phrase browsing.

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D. Bahle, H.E. Williams, J. Zobel, Efficient phrase querying with an auxiliary index, in: Proceedings of ACM-SIGIR Conference on Research and Development in Information Retrieval, Tampere, Finland, August 2002, pp. 215-221.
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Williams, H.E., Zobel, J. and Bahle, D., Fast phrase querying with combined indexes. ACM Journal. vV iN. 1-21.
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Cited By

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  • (2022)A Scalable Real-Time Agent-Based Information Retrieval EngineInternational Journal of Software Innovation10.4018/IJSI.29202210:1(1-14)Online publication date: 4-Mar-2022
  • (2019)A comparative study on feature reduction approaches in Hindi and Bengali named entity recognitionKnowledge-Based Systems10.1016/j.knosys.2011.09.01527(322-332)Online publication date: 1-Jan-2019

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 August 2008

Author Tags

  1. Information retrieval
  2. Inverted index
  3. Next word index
  4. Phrase indexing
  5. Query valuation
  6. Retrieval agent

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View all
  • (2022)A Scalable Real-Time Agent-Based Information Retrieval EngineInternational Journal of Software Innovation10.4018/IJSI.29202210:1(1-14)Online publication date: 4-Mar-2022
  • (2019)A comparative study on feature reduction approaches in Hindi and Bengali named entity recognitionKnowledge-Based Systems10.1016/j.knosys.2011.09.01527(322-332)Online publication date: 1-Jan-2019

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