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.