Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV [electronic resource] /
edited by Abdelkader Hameurlain, Josef Küng, Roland Wagner.
- 1st ed. 2016.
- IX, 187 p. 61 illus. in color. online resource.
- Transactions on Large-Scale Data- and Knowledge-Centered Systems, 9620 2510-4942 ; .
- Transactions on Large-Scale Data- and Knowledge-Centered Systems, 9620 .
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.
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. <.
9783662495346
10.1007/978-3-662-49534-6 doi
Information storage and retrieval systems.
Database management.
Data mining.
Artificial intelligence.
Application software.
Algorithms.
Information Storage and Retrieval.
Database Management.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Computer and Information Systems Applications.
Algorithms.
QA75.5-76.95
025.04
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.
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. <.
9783662495346
10.1007/978-3-662-49534-6 doi
Information storage and retrieval systems.
Database management.
Data mining.
Artificial intelligence.
Application software.
Algorithms.
Information Storage and Retrieval.
Database Management.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Computer and Information Systems Applications.
Algorithms.
QA75.5-76.95
025.04