Knowledge and Data Management in GRIDs

  • Domenico Talia
  • Angelos Bilas
  • Marios D. Dikaiakos

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Grid Data Management

    1. Front Matter
      Pages 1-1
    2. Neil P. Chue Hong, Mario Antonioletti, Konstantinos A. Karasavvas, Malcolm Atkinson
      Pages 3-18
    3. Anastasios Gounaris, Rizos Sakellariou, Carmela Comito, Domenico Talia
      Pages 19-33
    4. Shirley Crompton, Brian Matthews, Alex Gray, Andrew Jones, Richard White
      Pages 35-49
  3. Grid Data Storage

    1. Front Matter
      Pages 65-65
    2. Zsolt Németh, Michail D. Flouris, Renaud Lachaize, Angelos Bilas
      Pages 67-81
    3. Michail D. Flouris, Renaud Lachaize, Angelos Bilas
      Pages 83-98
    4. Konrad Karczewski, Lukasz Kuczynski
      Pages 99-115
  4. Semantic Grid

    1. Front Matter
      Pages 117-117
    2. Ioannis Kotsiopoulos, Paolo Missier, Pinar Alper, Oscar Corcho, Sean Bechhofer, Carole Goble
      Pages 119-134
    3. Miguel Esteban Gutiérrez, Asunción Gómez-Pérez
      Pages 151-168
    4. Paolo Missier, Philipp Wieder, Wolfgang Ziegler
      Pages 169-183
    5. Zoi Kaoudi, Iris Miliaraki, Matoula Magiridou, Erietta Liarou, Stratos Idreos, Manolis Koubarakis
      Pages 185-199
  5. Distributed Data Mining

    1. Front Matter
      Pages 201-201
    2. Antonio Congiusta, Domenico Talia, Paolo Trunfio
      Pages 203-220
    3. Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Claudio Silvestri
      Pages 221-234
    4. Maurice Dixon, Simon C. Lambert, Julian R. Gallop
      Pages 235-249

About these proceedings

Introduction

Data and knowledge play a key role in both current and future GRIDs. The issues concerning representation, discovery, and integration of data and knowledge in dynamic distributed environments can be addressed by exploiting features offered by GRID Technologies. Current research activities are leveraging the GRID for the provision of generic- and domain-specific solutions and services for data management and knowledge discovery.

Knowledge and Data Management in GRIDs is the third volume of the CoreGRID series and brings together scientific contributions by researchers and scientists working on storage, data, and knowledge management in GRID and Peer-to-Peer systems. This volume presents the latest GRID solutions and research results in key areas of knowledge and data management such as distributed storage management, GRID databases, Semantic GRID and GRID-aware data mining.

Knowledge and Data Management in GRIDs is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.

Keywords

DOM Data GRIDs Getov Getov series editor Knowledge Management Mgmt Scheduling Talia architecture configuration currentsmp database knowledge management

Editors and affiliations

  • Domenico Talia
    • 1
  • Angelos Bilas
    • 2
  • Marios D. Dikaiakos
    • 3
  1. 1.Dipto. Elettronica Informatica Sistemistica (DEIS)Università CalabriaRendeItaly
  2. 2.ICS-FORTHHeraklionGreece
  3. 3.Dept. Computer ScienceUniversity of CyprusNicosiaCyprus

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-37831-2
  • Copyright Information Springer Science+Business Media, LLC 2007
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-37830-5
  • Online ISBN 978-0-387-37831-2
  • About this book