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

ISBN-13: 9783662495339 / Angielski / Miękka / 2016 / 187 str.

Abdelkader Hameurlain; Josef Kung; Roland Wagner

Opis

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 resource, 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.

Spis treści

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.

Blurb

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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