Knowledge and Data Management in GRIDs (PDF)
Data and knowledge play a key role in both current and future GRIDs. The issues concerning representation, discovery, and integration of data and knowledge in dynamic distributed environments can be addressed by exploiting features offered by GRID...
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Data and knowledge play a key role in both current and future GRIDs. The issues concerning representation, discovery, and integration of data and knowledge in dynamic distributed environments can be addressed by exploiting features offered by GRID Technologies. Current research activities are leveraging the GRID for the provision of generic- and domain-specific solutions and services for data management and knowledge discovery.
Knowledge and Data Management in GRIDs is the third volume of the CoreGRID series and brings together scientific contributions by researchers and scientists working on storage, data, and knowledge management in GRID and Peer-to-Peer systems. This volume presents the latest GRID solutions and research results in key areas of knowledge and data management such as distributed storage management, GRID databases, Semantic GRID and GRID-aware data mining.
Knowledge and Data Management in GRIDs is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.
- 2007, 2007, 254 Seiten, Englisch
- Herausgegeben: Domenico Talia, Angelos Bilas, Marios D. Dikaiakos
- Verlag: Springer-Verlag GmbH
- ISBN-10: 0387378316
- ISBN-13: 9780387378312
- Erscheinungsdatum: 15.02.2007
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 14 MB
- Ohne Kopierschutz
- Vorlesefunktion
From the reviews:
"This edited book is an early attempt by primarily European researchers to harness and expand the use of grid technologies in accessing distributed sources for sharing, and also to extract and produce knowledge. … Overall, the book is well organized and the selected material represents a very interesting range of topics. The expected audience is academics with interests in distributed systems and databases, or grid practitioners who are interested in extending grid technologies to knowledge extraction management and data manipulation." (George Dimitoglou, Computing Reviews, January, 2008)
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