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Hybrid Knowledge Model to Help End-Users Retreive Relevant Information

Abstract : In this short paper, we present the knowledge representation model called Extended Semantic Network. The basic idea of this proposal is to imagine data representation techniques which can reason beyond the classical techniques in information retrieval systems. It is argued that by employing hybrid techniques one can address the good recall with powerful deduction problems. Our objective here is to achieve semi-supervised knowledge representation technique with good accuracy and minimum human intervention, using the heuristically developed information processing and integration methods.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00370424
Contributor : Joël Quinqueton <>
Submitted on : Tuesday, March 24, 2009 - 1:29:28 PM
Last modification on : Wednesday, June 24, 2020 - 4:18:08 PM
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  • HAL Id : lirmm-00370424, version 1

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Reena Shetty, Pierre-Michel Riccio, Joël Quinqueton. Hybrid Knowledge Model to Help End-Users Retreive Relevant Information. KRAQ: Knowledge and Reasoning for Answering Questions, Jan 2007, Hyderabad, India. ⟨lirmm-00370424⟩

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