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

  • Abdelkader Hameurlain
  • Josef Küng
  • Roland Wagner

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9620)

Also part of the Transactions on Large-Scale Data- and Knowledge-Centered Systems book sub series (TLDKS, volume 9620)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Sumita Barahmand, Shahram Ghandeharizadeh
    Pages 1-32
  3. Thuong-Cang Phan, Laurent d’Orazio, Philippe Rigaux
    Pages 33-70
  4. Imene Mami, Zohra Bellahsene, Remi Coletta
    Pages 71-108
  5. Maria-Esther Vidal, Simón Castillo, Maribel Acosta, Gabriela Montoya, Guillermo Palma
    Pages 109-149
  6. Fabien Duchateau, Zohra Bellahsene
    Pages 150-185
  7. Back Matter
    Pages 187-187

About this book

Introduction

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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Keywords

big data constraint optimization data placement problem knowledge management query processing and optimization classification cloud computing constraint reasoning data integration data management data stores distributed data design equijoin machine learning mapreduce modeling and management schema matching SPARQL

Editors and affiliations

  • Abdelkader Hameurlain
    • 1
  • Josef Küng
    • 2
  • Roland Wagner
    • 3
  1. 1.IRIT, Paul Sabatier UniversityToulouseFrance
  2. 2.FAW, University of LinzLinzAustria
  3. 3.FAW, University of LinzLinzAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-49534-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2016
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-49533-9
  • Online ISBN 978-3-662-49534-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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