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Computer Science - LNCS - Transactions TLDKS | Transactions on Large-Scale Data- and Knowledge Centered Systems -- LNCS Journal Subline

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

ISSN: 1869-1994
9783642037214_144x95
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 applicational development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolvement 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.
The objective of the international journal on Large-Scale Data- and Knowledge-Centered Systems is to provide an opportunity to disseminate original research contributions and to serve as a high-quality communication platform for researchers and practitioners. The journal contains sound peer-reviewed papers (research, state of the art, and technical) of high quality.

Topics  

  • Data storage and management
  • Data integration and metadata management
  • Data stream systems
  • Data/web semantics and ontologies
  • Knowledge engineering and processing
  • Sensor data and sensor networks
  • Dynamic data placement issues
  • Flexible and adaptive query processing
  • Query processing and optimization
  • Data warehousing
  • Cost models
  • Resource discovery
  • Resource management, reservation, and scheduling
  • Locating data sources/resources and scalability
  • Workload adaptability in heterogeneous environments
  • Transaction management
  • Replicated copy control and caching
  • Data privacy and security
  • Data mining and knowledge discovery
  • Mobile data management
  • Data grid systems
  • P2P systems
  • Web services
  • Autonomic data management
  • Large-scale distributed applications and experiences
  • Performance evaluation and benchmarking

Editors-in-Chief 

  • Abdelkader Hameurlain, Paul Sabatier University, IRIT, France
  • Josef Küng, University of Linz, FAW, Austria
  • Roland Wagner, University of Linz, FAW, Austria

Editorial Board 

  • Reza Akbarinia, INRIA, France
  • Stéphane Bressan, National University of Singapore, Singapore
  • Francesco Buccafurri, Università Mediterranea di Reggio Calabria, Italy
  • Qiming Chen, HP-Lab, USA
  • Tommaso Di Noia, Politecnico di Bari, Italy
  • Dirk Draheim, University of Innsbruck, Austria
  • Johann Eder, Alpen Adria University Klagenfurt, Austria
  • Stefan Fenz, Vienna University of Technology, Austria
  • Georg Gottlob, Oxford University, UK
  • Anastasios Gounaris, Aristotle University of Thessaloniki, Greece
  • Theo Härder, Technical University of Kaiserslautern, Germany
  • Dieter Kranzlmüller, Ludwig-Maximilians-Universität München, Germany
  • Philippe Lamarre, University of Nantes, France
  • Lenka Lhotská , Technical University of Prague, Czech Republic
  • Vladimir Marik, Technical University of Prague, Czech Republic
  • Dennis McLeod, University of Southern California, USA
  • Mukesh Mohania, IBM India, India
  • Tetsuya Murai, Hokkaido University, Japan
  • Gultekin Ozsoyoglu, Case Western Reserve University, USA
  • Oscar Pastor, Polytechnic University of Valencia, Spain
  • Torben Bach Pedersen, Aalborg University, Denmark
  • Günther Pernul, University of Regensburg, Germany
  • Klaus-Dieter Schewe, University of Linz, Austria
  • Makoto Takizawa, Seikei University Tokyo, Japan
  • David Taniar, Monash University, Australia
  • A Min Tjoa, Vienna University of Technology, Austria

Submissions 

Manuscripts should follow the LNCS formatting guidelines available from the LNCS Webpage and should be submitted electronically.