Data Integration in the Life Sciences

7th International Conference, DILS 2010, Gothenburg, Sweden, August 25-27, 2010. Proceedings

  • Patrick Lambrix
  • Graham Kemp
Conference proceedings DILS 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6254)

Also part of the Lecture Notes in Bioinformatics book sub series (LNBI, volume 6254)

Table of contents

  1. Front Matter
  2. Invited Talks

    1. Fusheng Wang, Tahsin Kurc, Patrick Widener, Tony Pan, Jun Kong, Lee Cooper et al.
      Pages 3-18
  3. Ontology Engineering

    1. Michael Hartung, Anika Gross, Toralf Kirsten, Erhard Rahm
      Pages 19-34
    2. Anika Gross, Michael Hartung, Toralf Kirsten, Erhard Rahm
      Pages 35-49
  4. Web Services

    1. Andrew Simpson, Mark Slaymaker, David Gavaghan
      Pages 58-73
    2. Paul M. K. Gordon, Ken Barker, Christoph W. Sensen
      Pages 74-89
    3. Kamar Marrakchi, Abdelaali Briache, Amine Kerzazi, Ismael Navas-Delgado, José Francisco Aldana-Montes, Mohamed Ettayebi et al.
      Pages 90-105
  5. Data Mining and Text Mining

    1. Jonas Bergman Laurila, Rajaraman Kanagasabai, Christopher J. O. Baker
      Pages 122-131
    2. Fabrizio Smeraldi, Michael Defoin-Platel, Mansoor Saqi
      Pages 132-147
  6. Information Management

    1. Neil Swainston, Daniel Jameson, Peter Li, Irena Spasic, Pedro Mendes, Norman W. Paton
      Pages 164-178
    2. Hector Rovira, Sarah Killcoyne, Ilya Shmulevich, John Boyle
      Pages 179-191
    3. Lorena Etcheverry, Shahan Khatchadourian, Mariano Consens
      Pages 192-206
    4. Marco Masseroli, Norman W. Paton, Giorgio Ghisalberti
      Pages 207-214
  7. Back Matter

About these proceedings

Introduction

The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organismsand diseases, which increasinglydepends on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources; once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison. The Data Integration in the Life Sciences (DILS) Conference series brings together data and knowledge management researchers from the computer s- ence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identi?ed in the life sciences. DILS 2010 was the seventh event in the series and was held in Goth- burg, Sweden during August 25–27, 2010. The associated proceedings contain 14 peer-reviewed papers and 2 invited papers. The sessions addressed ontology engineering, and in particular, evolution, matching and debugging of ontologies, akeycomponentforsemanticintegration;Web servicesasanimportanttechn- ogy for data integration in the life sciences; data and text mining techniques for discovering and recognizing biomedical entities and relationships between these entities; and information management, introducing data integration solutions for di?erent types of applications related to cancer, systems biology and - croarray experimental data, and an approach for integrating ranked data in the life sciences.

Keywords

biochemical systems biological ontologies data mining information management knowledge discovery ontology engineering simulation systems biology text mining web services

Editors and affiliations

  • Patrick Lambrix
    • 1
  • Graham Kemp
    • 2
  1. 1.Department of Computer and Information ScienceLinköpings universitetLinköpingSweden
  2. 2.Computer Science and EngineeringChalmers University of Technology and University of GothenburgGothenburg,Sweden

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-15120-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-15119-4
  • Online ISBN 978-3-642-15120-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book