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.

Introduces the Resource Space Model (RSM) and relevant theories to efficiently manage e-resources by normalized classification semantics Author is leading, well-cited figure in Knowledge Grid area

Inhalt
Resource Space Model Methodology.- A Semantic Overlay Integrating Normalization with Autonomy.- Expressiveness of Query Languages for Resource Space Model.- Algebra and Calculus of the Resource Space Model.- Searching Complexity of Resource Space Model.- Resource Space Model Storage.- Structured Peer-to-Peer Resource Space.- Unstructured Peer-to-Peer Resource Space.- Probabilistic Resource Space Model.