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Extended Semantic Network for Knowledge Representation

Reena Shetty 1 Pierre-Michel Riccio 1 Joël Quinqueton 2
1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production
2 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Résumé : The proposition Extended Semantic Network is an innovative tool for Knowledge Representation and Ontology construction, which not only infers meanings but looks for sets of associations between nodes as opposed to the present method of keyword association. The objective here is to achieve semi-supervised knowledge representation technique with good accuracy and minimum human intervention. This is realized by obtaining a technical co-operation between mathematical and mind models to harvest their collective intelligence.
Keywords : Extended Semantic Network Artificial Intelligence Collective Intelligence Proximal Network Semantic Netvvork User Modeling Knowledge Knowledge Representation & Management Information Retrieval
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00370532
Contributor : Joël Quinqueton <>
Submitted on : Friday, October 4, 2019 - 10:54:35 AM
Last modification on : Wednesday, June 24, 2020 - 4:18:15 PM

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LIRMM | CNRS | MIPS | UNIV-MONTPELLIER | EM-ALES | INSTITUT-TELECOM

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Reena Shetty, Pierre-Michel Riccio, Joël Quinqueton. Extended Semantic Network for Knowledge Representation. IIP: Intelligent Information Processing, Sep 2006, Adelaide, SA, Australia. pp.135-144, ⟨10.1007/978-0-387-44641-7_14⟩. ⟨lirmm-00370532⟩

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