Authors:
- 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
Part of the book series: Web Information Systems Engineering and Internet Technologies Book Series (WISE, volume 4)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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Institute of Computing Technology Chinese Academy of Sciences, Zhong Guan Cun, China
Hai Zhuge
Bibliographic Information
Book Title: The Web Resource Space Model
Authors: Hai Zhuge
Series Title: Web Information Systems Engineering and Internet Technologies Book Series
DOI: https://doi.org/10.1007/978-0-387-72772-1
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2008
Hardcover ISBN: 978-0-387-72771-4Published: 04 December 2007
Softcover ISBN: 978-1-4419-4446-7Published: 10 November 2010
eBook ISBN: 978-0-387-72772-1Published: 18 October 2007
Series ISSN: 2627-1753
Series E-ISSN: 2627-1761
Edition Number: 1
Number of Pages: XII, 234
Topics: Information Systems Applications (incl. Internet), Information Systems and Communication Service, Information Storage and Retrieval, Database Management