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Data Integration in the Life Sciences

9th International Conference, DILS 2013, Montreal, QC, Canada, July 11-12, 2013. Proceedings

  • Christopher J. O. Baker
  • Greg Butler
  • Igor Jurisica

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7970)

Also part of the Lecture Notes in Bioinformatics book sub series (LNBI, volume 7970)

Table of contents

  1. Front Matter
  2. Marc Hulsman, Jan J. Bot, Arjen P. de Vries, Marcel J. T. Reinders
    Pages 23-37
  3. Amir H. Asiaee, Prashant Doshi, Todd Minning, Satya Sahoo, Priti Parikh, Amit Sheth et al.
    Pages 38-45
  4. Thomas Stoltmann, Karin Zimmermann, André Koschmieder, Ulf Leser
    Pages 46-53
  5. Ahmad C. Bukhari, Artjom Klein, Christopher J. O. Baker
    Pages 69-80
  6. Michael Hartung, Lars Kolb, Anika Groß, Erhard Rahm
    Pages 81-89
  7. Anika Groß, Julio Cesar Dos Reis, Michael Hartung, Cédric Pruski, Erhard Rahm
    Pages 90-104
  8. James P. McCusker, Timothy Lebo, Michael Krauthammer, Deborah L. McGuinness
    Pages 105-112
  9. Jyotishman Pathak, Richard C. Kiefer, Christopher G. Chute
    Pages 128-140
  10. Back Matter

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 9th International Conference on Data Integration in the Life Sciences, DILS 2013, held in Montreal, QC, Canada, in July 2013. The 10 revised papers included in this volume were carefully reviewed and selected from 23 submissions. The papers cover a range of important topics such as algorithms for ontology matching, interoperable frameworks for text mining using semantic web services, pipelines for genome-wide functional annotation, automation of pipelines providing data discovery and access to distributed resources, knowledge-driven querying-answer systems, prizms, nanopublications, electronic health records and linked data.

Keywords

actionable knowledge big data ontology alignment parallel hardware semantic Web services

Editors and affiliations

  • Christopher J. O. Baker
    • 1
  • Greg Butler
    • 2
  • Igor Jurisica
    • 3
  1. 1.Department of Computer Science and Applied StatisticsUniversity of New BrunswickSaint JohnCanada
  2. 2.Department of Computer ScienceConcordia UniversityMontrealCanada
  3. 3.Ontario Cancer InstituteUniversity of TorontoTorontoCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-39437-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-39436-2
  • Online ISBN 978-3-642-39437-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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