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

✍ Scribed by Abdelkader Hameurlain, Josef Küng, Roland Wagner (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2014
Tongue
English
Leaves
122
Series
Lecture Notes in Computer Science 8800
Edition
1
Category
Library

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✦ Synopsis


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. This, the 14th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four revised selected regular papers. Topics covered include data stream systems, top-k query processing, semantic web service (SWS) discovery, and XML functional dependencies.

✦ Table of Contents


Front Matter....Pages I-VII
Reliable Aggregation over Prioritized Data Streams....Pages 1-25
Slicing the Dimensionality: Top-k Query Processing for High-Dimensional Spaces....Pages 26-50
SeeVa : A Model Based Framework for Semantic Web Service Discovery....Pages 51-82
Maximal Set of XML Functional Dependencies for the Integration of Multiple Systems....Pages 83-113
Back Matter....Pages 115-115

✦ Subjects


Database Management; Information Storage and Retrieval; Information Systems Applications (incl. Internet); Data Mining and Knowledge Discovery


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