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

  • Book
  • © 2009

Overview

Editors:
  1. Abdelkader Hameurlain

    1. Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, Toulouse CEDEX Cedex, France

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  2. Josef Küng

    1. University of Linz, Linz, Austria

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    You can also search for this editor in PubMed   Google Scholar

  3. Roland Wagner

    1. University of Linz, Linz, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5740)

Part of the book sub series: Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS)

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Table of contents (14 chapters)

  1. Front Matter

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  2. Modeling and Management of Information Supporting Functional Dimension of Collaborative Networks

    • Hamideh Afsarmanesh, Ekaterina Ermilova, Simon S. Msanjila, Luis M. Camarinha-Matos
    Pages 1-37

  3. A Universal Metamodel and Its Dictionary

    • Paolo Atzeni, Giorgio Gianforme, Paolo Cappellari
    Pages 38-62

  4. Data Mining Using Graphics Processing Units

    • Christian Böhm, Robert Noll, Claudia Plant, Bianca Wackersreuther, Andrew Zherdin
    Pages 63-90

  5. Context-Aware Data and IT Services Collaboration in E-Business

    • Khouloud Boukadi, Chirine Ghedira, Zakaria Maamar, Djamal Benslimane, Lucien Vincent
    Pages 91-115

  6. Facilitating Controlled Tests of Website Design Changes Using Aspect-Oriented Software Development and Software Product Lines

    • Javier Cámara, Alfred Kobsa
    Pages 116-135

  7. Frontiers of Structured Business Process Modeling

    • Dirk Draheim
    Pages 136-155

  8. Information Systems for Federated Biobanks

    • Johann Eder, Claus Dabringer, Michaela Schicho, Konrad Stark
    Pages 156-190

  9. Exploring Trust, Security and Privacy in Digital Business

    • Simone Fischer-Hübner, Steven Furnell, Costas Lambrinoudakis
    Pages 191-210

  10. Evolution of Query Optimization Methods

    • Abdelkader Hameurlain, Franck Morvan
    Pages 211-242

  11. Holonic Rationale and Bio-inspiration on Design of Complex Emergent and Evolvable Systems

    • Paulo Leitao
    Pages 243-266

  12. Self-Adaptation for Robustness and Cooperation in Holonic Multi-Agent Systems

    • Paulo Leitao, Paul Valckenaers, Emmanuel Adam
    Pages 267-288

  13. Context Oriented Information Integration

    • Mukesh Mohania, Manish Bhide, Prasan Roy, Venkatesan T. Chakaravarthy, Himanshu Gupta
    Pages 289-326

  14. Data Sharing in DHT Based P2P Systems

    • Claudia Roncancio, María del Pilar Villamil, Cyril Labbé, Patricia Serrano-Alvarado
    Pages 327-352

  15. Reverse k Nearest Neighbor and Reverse Farthest Neighbor Search on Spatial Networks

    • Quoc Thai Tran, David Taniar, Maytham Safar
    Pages 353-372

  16. Back Matter

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Keywords

About this book

Data management, knowledge discovery, and knowledge processing are core and hot topics in computer science. They are widely accepted as enabling technologies for modern enterprises, enhancing their performance and their decision making processes. Since the 1990s the Internet has been the outstanding driving force for application development in all domains. An increase in the demand for resource sharing (e. g. , computing resources, s- vices, metadata, data sources) 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 prov- ing high scalability. Current decentralized systems still focus on data and knowledge as their main resource characterized by: heterogeneity of nodes, data, and knowledge autonomy of data and knowledge sources and services large-scale data volumes, high numbers of data sources, users, computing resources dynamicity of nodes These characteristics recognize: (i) limitations of methods and techniques developed for centralized systems (ii) requirements to extend or design new approaches and methods enhancing efficiency, dynamicity, and scalability (iii) development of large scale, experimental platforms and relevant benchmarks to evaluate and validate scaling Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and agent systems supporting 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.

Editors and Affiliations

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

    Abdelkader Hameurlain

  • University of Linz, Linz, Austria

    Josef Küng, Roland Wagner

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