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E-grāmata: Transactions on Large-Scale Data- and Knowledge-Centered Systems IV: Special Issue on Database Systems for Biomedical Applications

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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 6990
  • Izdošanas datums: 25-Sep-2011
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783642237409
  • Formāts - PDF+DRM
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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 6990
  • Izdošanas datums: 25-Sep-2011
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783642237409

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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.

This book examines database research in biomedical applications, including 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.
Database Systems for Biomedical Applications
A Database System for Electrophysiological Data
1(14)
Philipp L. Rautenberg
Andrey Sobolev
Andreas Herz
Thomas Wachtler
Management of Genotyping-Related Documents by Integrated Use of Semantic Tagging
15(25)
Alessio Bechini
Riccardo Giannini
MEDCollector: Multisource Epidemic Data Collector
40(33)
Joao Zamite
Fabricio A.B. Silva
Francisco Couto
Mario J. Silva
Supporting BioMedical Information Retrieval: The BioTracer Approach
73(22)
Heri Ramampiaro
Chen Li
Electronic Health Record Data-as-a-Services Composition Based on Query Rewriting
95(29)
Idir Amine Amarouche
Djamal Benslimane
Mahmoud Barhamgi
Michael Mrissa
Zaia Alimazighi
A Modular Database Architecture Enabled to Comparative Sequence Analysis
124(24)
Paola Bonfante
Francesca Cordero
Stefano Ghignone
Dino Ienco
Luisa Lanfranco
Giorgio Leonardi
Rosa Meo
Stefania Montani
Luca Roversi
Alessia Visconti
[ KD3] A Workflow-Based Application for Exploration of Biomedical Data Sets
148(10)
Andreas Dander
Michael Handler
Michael Netzer
Bernhard Pfeifer
Michael Seger
Christian Baumgartner
A Secured Collaborative Model for Data Integration in Life Sciences
158(30)
Hasan Jamil
Flexible-ICA Algorithm for a Reliable Iris Recognition
188(21)
Imen Bouraoui
Salim Chitroub
Ahmed Bouridane
Author Index 209