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

1. Front Matter

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2. Database Systems for Biomedical Applications

   1. A Database System for Electrophysiological Data

      • Philipp L. Rautenberg, Andrey Sobolev, Andreas V. M. Herz, Thomas Wachtler

      Pages 1-14

   2. Management of Genotyping-Related Documents by Integrated Use of Semantic Tagging

      • Alessio Bechini, Riccardo Giannini

      Pages 15-39

   3. MEDCollector: Multisource Epidemic Data Collector

      • João Zamite, Fabrício A. B. Silva, Francisco Couto, Mário J. Silva

      Pages 40-72

   4. Supporting BioMedical Information Retrieval: The BioTracer Approach

      • Heri Ramampiaro, Chen Li

      Pages 73-94

   5. Electronic Health Record Data-as-a-Services Composition Based on Query Rewriting

      • Idir Amine Amarouche, Djamal Benslimane, Mahmoud Barhamgi, Michael Mrissa, Zaia Alimazighi

      Pages 95-123

   6. A Modular Database Architecture Enabled to Comparative Sequence Analysis

      • Paola Bonfante, Francesca Cordero, Stefano Ghignone, Dino Ienco, Luisa Lanfranco, Giorgio Leonardi et al.

      Pages 124-147

   7. [KD3] A Workflow-Based Application for Exploration of Biomedical Data Sets

      • Andreas Dander, Michael Handler, Michael Netzer, Bernhard Pfeifer, Michael Seger, Christian Baumgartner

      Pages 148-157

   8. A Secured Collaborative Model for Data Integration in Life Sciences

      • Hasan Jamil

      Pages 158-187

   9. Flexible-ICA Algorithm for a Reliable Iris Recognition

      • Imen Bouraoui, Salim Chitroub, Ahmed Bouridane

      Pages 188-208

3. Back Matter

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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 special issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems highlights some of the major challenges emerging from the biomedical applications that are currently inspiring and promoting database research. These include the management, organization, and integration of massive amounts of heterogeneous data; the semantic gap between high-level research questions and low-level data; and privacy and efficiency. The contributions cover a large variety of biological and medical applications, including genome-wide association studies, epidemic research, and neuroscience.

• bioinformatics
• data mining
• knowledge discovery in databases
• semantic annotation
• statistical methods
• data structures

• Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, Toulouse Cedex, France

  Abdelkader Hameurlain

• University of Linz, FAW, Linz, Austria

  Josef Küng, Roland Wagner

• Department of Computer Science, Ludwig-Maximilians-Universität, München, Germany

  Christian Böhm

• Institut für Informatik-Systeme, Alpen Adria Universität Klagenfurt, Klagenfurt, Austria

  Johann Eder

• Department of Scientific Computing, Florida State University, Tallahassee, USA

  Claudia Plant

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