The Web Resource Space Model

  • Hai Zhuge

Part of the Web Information Systems Engineering and Internet Technologies book series (WISE, volume 4)

About this book

Introduction

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.

Keywords

Knowledge Grid Semantic Link Network classification database database systems normalization peer-to-peer query operations relational database semantic web

Authors and affiliations

  • Hai Zhuge
    • 1
  1. 1.Institute of Computing Technology Chinese Academy of SciencesZhong Guan CunChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-72772-1
  • Copyright Information Springer-Verlag US 2008
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-72771-4
  • Online ISBN 978-0-387-72772-1
  • About this book