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

Special Issue on Database- and Expert-Systems Applications

  • Abdelkader Hameurlain
  • Josef Küng
  • Roland Wagner
  • Qimin Chen

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9940)

Also part of the Transactions on Large-Scale Data- and Knowledge-Centered Systems book sub series (TLDKS, volume 9940)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Mateus S. H. Cruz, Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa
    Pages 1-22
  3. Takaya Kawakatsu, Akira Kinoshita, Atsuhiro Takasu, Jun Adachi
    Pages 23-47
  4. Carlyna Bondiombouy, Boyan Kolev, Oleksandra Levchenko, Patrick Valduriez
    Pages 48-74
  5. Shangpu Jiang, Daniel Lowd, Sabin Kafle, Dejing Dou
    Pages 75-95
  6. Debabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart et al.
    Pages 96-132
  7. Katerina Zamani, Angelos Charalambidis, Stasinos Konstantopoulos, Nickolas Zoulis, Effrosyni Mavroudi
    Pages 133-156
  8. Back Matter
    Pages 157-157

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.

This, the 28th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of six papers presented at the 26th International Conference on Database- and Expert-Systems Applications, DEXA 2015, held in Valencia, Spain, in September 2015. Topics covered include efficient graph processing, machine learning on big data, multistore big data integration, ontology matching, and the optimization of histograms for the Semantic Web.

Keywords

big data data mining ontology matching parallel processing Semantic Web divide-and-conquer GPU knowledge rules learning mixture models machine learning markov logic multistore nonuniform memory access oblivious database tuning parallelism parallelization probabilistic inference regularized cost-model reinforcement learning self-tuning histograms

Editors and affiliations

  • Abdelkader Hameurlain
    • 1
  • Josef Küng
    • 2
  • Roland Wagner
    • 3
  • Qimin Chen
    • 4
  1. 1.IRIT, Paul Sabatier University ToulouseFrance
  2. 2.FAW, University of Linz LinzAustria
  3. 3.FAW, University of Linz LinzAustria
  4. 4.HP Labs SunnyvaleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-53455-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2016
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-53454-0
  • Online ISBN 978-3-662-53455-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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