Intelligent techniques for effective Information Retrieval: Intelligent techniques for effective Information Retrieval A Conceptual Graph based Approach - Couverture souple

Siddiqui, Tanveer

 
9783639303247: Intelligent techniques for effective Information Retrieval: Intelligent techniques for effective Information Retrieval A Conceptual Graph based Approach
Couverture souple
ISBN 10 : 3639303245 ISBN 13 : 9783639303247
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

This monograph presents a thesis work that attempts to utilize semantics to improve effectiveness in IR. The hypothesis is that with an improved representation of documents and by incorporating limited semantic knowledge, it is possible to improve the effectiveness of an information retrieval (IR) system. In this direction, statistical, hybrid and integrated IR models have been investigated. The conceptual graph (CG) based relevance feedback strategies and CG similarity measures proposed in this thesis are novel contributions. The techniques investigated in this work make use of CG-based model in conjunction with the statistical vector space model. The CG-based model attempts to capture relationship among terms (concept). The two models thus complement each other allowing us to take the benefits of the long and established research efforts in the statistical models and versatility of semantic models. The chapters in this monograph have enough material for young researchers working in this area and may give rise to interesting research problem for their work.

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Présentation de l'éditeur

This monograph presents a thesis work that attempts to utilize semantics to improve effectiveness in IR. The hypothesis is that with an improved representation of documents and by incorporating limited semantic knowledge, it is possible to improve the effectiveness of an information retrieval (IR) system. In this direction, statistical, hybrid and integrated IR models have been investigated. The conceptual graph (CG) based relevance feedback strategies and CG similarity measures proposed in this thesis are novel contributions. The techniques investigated in this work make use of CG-based model in conjunction with the statistical vector space model. The CG-based model attempts to capture relationship among terms (concept). The two models thus complement each other allowing us to take the benefits of the long and established research efforts in the statistical models and versatility of semantic models. The chapters in this monograph have enough material for young researchers working in this area and may give rise to interesting research problem for their work.

Biographie de l'auteur

Tanveer J. Siddiqui received her M.Sc. and D. Phil. degrees from University of Allahabad. She has over 13 years of experience in research and teaching. She has authored/edited three books and more than 15 research papers.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639303245
ISBN 13 
9783639303247
Reliure
Broché
Nombre de pages
196
Coordonnées du fabricant
non disponible
Personne responsable
non disponible