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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV

Editat de Abdelkader Hameurlain, Josef Küng, Roland Wagner
en Limba Engleză Paperback – 2 mar 2016
This, the 25th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully revised selected papers focusing on data and knowledge management systems. Topics covered include a framework consisting of two heuristics with slightly different characteristics to compute the action rating of data stores, a theoretical and experimental study of filter-based equijoins in a MapReduce environment, a constraint programming approach based on constraint reasoning to study the view selection and data placement problem given a limited amount of resources, a formalization and an approximate algorithm to tackle the problem of source selection and query decomposition in federations of SPARQL endpoints, and a matcher factory enabling the generation of a dedicated schema matcher for a given schema matching scenario.
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Specificații

ISBN-13: 9783662495339
ISBN-10: 3662495333
Pagini: 200
Ilustrații: IX, 187 p. 61 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.31 kg
Ediția:1st edition 2016
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Cuprins

On Expedited Rating of Data Stores.- A Theoretical andExperimental Comparison of Filter-Based Equijoins in MapReduce.- ConstraintOptimization Method for Large-Scale Distributed View Selection.- On theSelection of SPARQL Endpoints to Efficiently Execute Federated SPARQL Queries.-YAM: A Step Forward for Generating a Dedicated Schema Matcher.

Textul de pe ultima copertă

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.
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Caracteristici

Focuses on hot topics in the field of data and knowledge management systems Both theoretical and applicational aspects are covered Contains five detailed papers carefully selected by the Editorial Board of TLDKS Includes supplementary material: sn.pub/extras