Data Integration in the Life Sciences

10th International Conference, DILS 2014, Lisbon, Portugal, July 17-18, 2014. Proceedings

  • Helena Galhardas
  • Erhard Rahm
Conference proceedings DILS 2014

DOI: 10.1007/978-3-319-08590-6

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8574)

Table of contents (14 papers)

  1. Front Matter
  2. Data Integration Platforms and Applications

    1. An Asset Management Approach to Continuous Integration of Heterogeneous Biomedical Data
      Robert E. Schuler, Carl Kesselman, Karl Czajkowski
      Pages 1-15
    2. Mining Linked Open Data: A Case Study with Genes Responsible for Intellectual Disability
      Gabin Personeni, Simon Daget, Céline Bonnet, Philippe Jonveaux, Marie-Dominique Devignes, Malika Smaïl-Tabbone et al.
      Pages 16-31
    3. Data Integration between Swedish National Clinical Health Registries and Biobanks Using an Availability System
      Ola Spjuth, Jani Heikkinen, Jan-Eric Litton, Juni Palmgren, Maria Krestyaninova
      Pages 32-40
  3. Biodiversity Data Management

    1. Data Management Experiences and Best Practices from the Perspective of a Plant Research Institute
      Daniel Arend, Christian Colmsee, Helmut Knüpffer, Markus Oppermann, Uwe Scholz, Danuta Schüler et al.
      Pages 41-49
    2. A Semantic Web Faceted Search System for Facilitating Building of Biodiversity and Ecosystems Services
      Marie-Angélique Laporte, Isabelle Mougenot, Eric Garnier, Ulrike Stahl, Lutz Maicher, Jens Kattge
      Pages 50-57
    3. Handling Multiple Foci in Graph Databases
      Jaudete Daltio, Claudia Bauzer Medeiros
      Pages 58-65
  4. Ontologies and Visualization

    1. Completing the is-a Structure of Biomedical Ontologies
      Zlatan Dragisic, Patrick Lambrix, Fang Wei-Kleiner
      Pages 66-80
    2. Annotation-Based Feature Extraction from Sets of SBML Models
      Rebekka Alm, Dagmar Waltemath, Olaf Wolkenauer, Ron Henkel
      Pages 81-95
    3. REX – A Tool for Discovering Evolution Trends in Ontology Regions
      Victor Christen, Anika Groß, Michael Hartung
      Pages 96-103
    4. Towards Visualizing the Alignment of Large Biomedical Ontologies
      Catia Pesquita, Daniel Faria, Emanuel Santos, Jean-Marc Neefs, Francisco M. Couto
      Pages 104-111
  5. Linked Data and Query Processing

    1. Discovering Relations between Indirectly Connected Biomedical Concepts
      Dirk Weissenborn, Michael Schroeder, George Tsatsaronis
      Pages 112-119
    2. Exploiting Semantics from Ontologies and Shared Annotations to Partition Linked Data
      Guillermo Palma, Maria-Esther Vidal, Louiqa Raschid, Andreas Thor
      Pages 120-127
    3. ConQuR-Bio: Consensus Ranking with Query Reformulation for Biological Data
      Bryan Brancotte, Bastien Rance, Alain Denise, Sarah Cohen-Boulakia
      Pages 128-142
  6. Back Matter

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 10th International Conference on Data Integration in the Life Sciences, DILS 2014, held in Lisbon, Portugal, in July 2014. The 9 revised full papers and the 5 short papers included in this volume were carefully reviewed and selected from 20 submissions. The papers cover a range of important topics such as data integration platforms and applications; biodiversity data management; ontologies and visualization; linked data and query processing.

Keywords

applied computing biomedical ontologies data integration data management systems health informatics health information exchanges life and medical sciences medical records personal health records semantic web visualization

Editors and affiliations

  • Helena Galhardas
    • 1
  • Erhard Rahm
    • 2
  1. 1.Instituto Superior TécnicoUniversity of Lisboa, INESC-IDPorto SalvoPortugal
  2. 2.Fakultät für Mathematik und Informatik, Institut für InformatikUniversität LeipzigLeipzigGermany

Bibliographic information

  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-08589-0
  • Online ISBN 978-3-319-08590-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349