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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV
Details
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.
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
Inhalt
On Expedited Rating of Data Stores.- A Theoretical and Experimental Comparison of Filter-Based Equijoins in MapReduce.- Constraint Optimization Method for Large-Scale Distributed View Selection.- On the Selection of SPARQL Endpoints to Efficiently Execute Federated SPARQL Queries.- YAM: A Step Forward for Generating a Dedicated Schema Matcher.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783662495339
- Genre Information Technology
- Auflage 1st edition 2016
- Editor Abdelkader Hameurlain, Josef Küng, Roland Wagner
- Lesemotiv Verstehen
- Anzahl Seiten 200
- Größe H235mm x B155mm x T12mm
- Jahr 2016
- EAN 9783662495339
- Format Kartonierter Einband
- ISBN 3662495333
- Veröffentlichung 02.03.2016
- Titel Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV
- Untertitel Lecture Notes in Computer Science 9620 - Transactions on Large-Scale Data- and K
- Gewicht 312g
- Herausgeber Springer
- Sprache Englisch