Overview
- Covers hot topics in the field of data and knowledge management systems
- Addresses optimization and cluster validation processes for entity matching
- Explores business intelligence systems and data profiling in the Semantic Web
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10120)
Part of the book sub series: Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS)
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Table of contents (4 chapters)
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Front Matter
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Back Matter
Keywords
- data warehousing
- knowledge management
- optimization
- Semantic Web
- workflow management
- business intelligence
- classification
- cluster validation
- clustering
- data profiling
- data-intensive flows
- entity matching
- performance evaluation
- RDF data
- sensitivity
- similarity threshold
- validity measure
- algorithm analysis and problem complexity
About this book
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 29th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four revised selected regular papers. Topics covered include optimization and cluster validation processes for entity matching, business intelligence systems, and data profiling in the Semantic Web.Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIX
Editors: Abdelkader Hameurlain, Josef Küng, Roland Wagner
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-54037-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany 2016
Softcover ISBN: 978-3-662-54036-7Published: 23 December 2016
eBook ISBN: 978-3-662-54037-4Published: 15 December 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 135
Number of Illustrations: 29 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Artificial Intelligence, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Algorithm Analysis and Problem Complexity