The Web Resource Space Model: 4 - Rilegato

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Rilegato

ISBN 10: 038772771X ISBN 13: 9780387727714

Casa editrice: Springer-Verlag New York Inc, 2007

Riassunto

The author, an internationally cited expert in the knowledge grid field, introduces the Resource Space Model (RSM) to help you effectively organize and manage resources by normalizing classification semantics. After setting forth basic models of RSM and the Semantic Link Network, the author establishes the relationship between the two models and sets forth an approach to integrating the two and exploring their semantic rich interconnections.

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Dalla quarta di copertina

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.

The author, an internationally cited expert in the knowledge grid field, explores these topics:

• A general methodology of the RSM the origin, fundamental concepts, characteristics and the development method

• The relationship between the RSM and the Semantic Link Network, which forms a richer semantic data model to support advanced distributed applications

• The completeness and necessity theory for query operations of the RSM

• The algebra and calculus theory for query operations of the RSM

• The complexity of searching the resource space

• The physical storage mechanism of the resource space

• The P2P-based decentralized resource space

• The probabilistic RSM, which enables users or applications to deal with uncertainty when storing and retrieving resources
  

The Web Resource Space Model represents a major contribution to the field of knowledge grid, offering a highly efficient model for managing e-resources. It is essential reading for researchers of the web, semantic web, and decentralized data engineering.

Dettagli dell?edizione

• Editore: Springer-Verlag New York Inc
• Data di pubblicazione: 2007
• ISBN 10: 038772771X
• ISBN 13: 9780387727714
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 233
• Contatto del produttore: non disponibile