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.
"synopsis" may belong to another edition of this title.
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:
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.
"About this title" may belong to another edition of this title.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces the Resource Space Model (RSM) and relevant theories to efficiently manage e-resources by normalized classification semanticsAuthor is leading, well-cited figure in Knowledge Grid areaThe author, an internationally cited expe. Seller Inventory # 4174795
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Taschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch. Seller Inventory # 9781441944467
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