The Web Resource Space Model

Hai Zhuge

ISBN 10: 038772771X / ISBN 13: 9780387727714

Edité par Springer US, Springer New York Dez 2007, 2007

A propos de cet article

Neuware -Classifying objects into categories at different granularity levels, establishing links between known objects, and discovering clues between known and unknown objects are essential for new-generation semantic data models. This book introduces the Resource Space Model (RSM), which effectively organizes and correctly manages resources by normalizing classification semantics.This volume presents basic models of RSM and the Semantic Link Network (SLN), the relationship between the two, and an approach to integrating the two models and exploring their semantic-rich interconnection. Also detailed is a comprehensive theory of query operations on RSM and extensive coverage of the distributed RSM in parallel with the distributed relational database systems.This text is sure to be considered a substantial contribution to the field of Knowledge Grid by researchers in the areas of web, semantic web, and decentralized data engineering, as well as the emerging semantic and knowledge grid arena.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch.

N° de réf. du vendeur 9780387727714

Détails bibliographiques

• Titre: The Web Resource Space Model
• Éditeur: Springer US, Springer New York Dez 2007
• Date de parution: 2007
• Langue: anglais
• ISBN à 10 chiffres: 038772771X
• ISBN à 13 chiffres: 9780387727714
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 160 H x 19 P (en millimètres) 241 millimètres de largeur par 160 millimètres de hauteur par 19 millimètres de profondeur
• Poids: 541 grammes

A propos de ce titre

Synopsis

Classifying objects into categories at different granularity levels, establishing links between known objects, and discovering clues between known and unknown objects are essential for new-generation semantic data models. This book introduces the Resource Space Model (RSM), which effectively organizes and correctly manages resources by normalizing classification semantics.

This volume presents basic models of RSM and the Semantic Link Network (SLN), the relationship between the two, and an approach to integrating the two models and exploring their semantic-rich interconnection. Also detailed is a comprehensive theory of query operations on RSM and extensive coverage of the distributed RSM in parallel with the distributed relational database systems.

This text is sure to be considered a substantial contribution to the field of Knowledge Grid by researchers in the areas of web, semantic web, and decentralized data engineering, as well as the emerging semantic and knowledge grid arena.