[AISWorld] CfP 13th International Conference on Data Integration in the Life Sciences (DILS 2018) Submission Deadline Extended
mvidal
mvidal at umiacs.umd.edu
Sat Jun 30 18:44:38 EDT 2018
Dear all
Please, find below the call for papers of DILS 2018. We are looking
forward to receiving your submissions.
**************
CfP 13th International Conference on Data Integration in the Life
Sciences (DILS 2018)
The Thirteenth International Conference on Data Integration in the Life
Sciences 2018 (DILS 2018) will be held by TIB – Leibniz Information
Centre for Science and Technology in Hannover (Germany) at Leibnizhaus
on November 20-21, 2018.
https://events.tib.eu/dils2018/
In addition, the TIB will hold a pre-conference on "Data Integration in
the Life Sciences and Semantic Technologies" on November 19, 2018 and a
post-conference on "Open Research Knowledge Graph" on November 22, 2018.
DILS 2018 is being hosted by TIB – Leibniz Information Centre for
Science and Technology (TIB in Hannover), L3S Research Center Leibniz
Universität Hannover (L3S in Hannover) and ZB MED – Information
Centre for Life Sciences (ZB MED in Cologne/Bonn)
Important Dates
Paper submission deadline for research papers: July 30th, 2018
EXTENDED!!
Paper submission deadline for industry, demonstration, and
application/experience papers: July 30th, 2018 EXTENDED!!
Notification of acceptance: September 4th, 2018
Camera-ready copy due: September 17th, 2018
Conference days:
Tutorials on "Data Integration in the Life Sciences and Semantic
Technologies": November 19th, 2018
Main conference: November 20-21, 2018
Workshop on "Open Research Knowledge Graph": November 22rd, 2018
Keynote Speakers
Catia Pesquita. Universidade de Lisboa, Portugal
Alfred Pühler. Universität Bielefeld, Germany
Aims and Scope
DILS provides a forum for the discussion of data management on the life
sciences, including open problems and technical solutions for
integration, query processing, and analytics. In particular, the
thirteenth edition of DILS will focus on Big life science data coming
from diverse data sources, e.g., genomic data collections, biomedical
literature, or clinical records, and in the challenges for transforming
Big data into actionable insights.
Topics of Interests and Research Areas:
Topics of interest include, but are not limited to:
Challenges and opportunities with big, complex or heterogeneous life
science data
Life science data integration and management
Authenticity, privacy, security, and trust in life science data
Knowledge graphs from life science data
Knowledge representation and discovery from life science data
Knowledge extraction for life science data
Ontology mappings and evolution
Quality assurance in integrated life science repositories
Architectures and data management techniques for the life sciences
Query processing and optimization
Question answering over life science data
Exposing life science data (APIs, Linked Open Data, SPARQL endpoints)
Metadata and Provenance Management of life science repositories
Analytics of large-scale life science data
Ethical, legal and social issues with biomedical data integration.
Data integration challenges and applications in various life-sciences
Applications using and managing Big life science data
Industry papers, demos and application/experiences are also welcome to
DILS 2018. They will be selected according to industry-compliant
assessment criteria.
Paper Submission and Publication
Authors are invited to submit original contributions of technical rigour
and practical relevance to DILS 2018. Four types of papers will be
selected:
Full research papers (up to 15 pages)
Short research papers (8 pages)
Industry/application/experience papers (8 pages)
Demos and Posters (4 pages)
Papers are to be prepared using LNCS templates
The proceedings of DILS will be published by Springer in the
LNCS/LNAI/LNBI (Lecture Notes in Bioinformatics).
And submitted using the EasyChair site:
https://easychair.org/conferences/?conf=dils2018
Special Issue on “Data Quality of Life Sciences”
Authors of the best papers will be invited to submit an extended version
of their papers to the Special Issue on “Data Quality on Life
Sciences” of the ACM Journal of “Data and Information Quality
(JDIQ)”
Organizing Committee
General Chair: Sören Auer. Leibniz Information Centre For Science and
Technology, Leibniz Universität Hannover, Germany
Organizing Co-Chairs:
Wolfgang Nejdl, L3S Research Center, Leibniz University of Hannover
Dietrich Nelle, ZB-Med
Katrin Hanebutt, TIB Leibniz Information Centre for Science and
Technology
Programme Chair: Maria-Esther Vidal, Leibniz Information Centre For
Science and Technology, Germany and Universidad Simón Bolívar,
Venezuela
Program Committee
Following is the list of (confirmed) program committee members not in
any particular order:
Cédric Pruski, Luxembourg Institute of Science and Technology,
Luxembourg
Amrapali Zaveri, Maastricht University, The Netherlands
Bernd Müller, ZB MED Leibniz Information Centre for Life Sciences,
Germany
Konrad Förstner, Institute for Molecular Infection Biology, University
of Würzburg, Germany
Juliane Fluck, Fraunhofer, Germany
Marcos Da Silveira, LIST- Luxembourg Institute of Science and
Technology, , Luxembourg
Naveen Ashish, Taming Disease with Data Science, USA
José Luis Ambite, University of Southern California, USA
Ulf Leser, Institut für Informatik, Humboldt-Universität zu Berlin,
Germany
Erhard Rahm, University of Leipzig, Germany
Michel Dumontier, Maastricht University, The Netherlands
Alejandro Rodriguez, Universidad Politécnica de Madrid, Spain
Catia Pesquita, Universidade de Lisboa, Portugal
Angeli Moeller, Bayer, Germany
Pierre Larmande, Université de Montpellier, France
Robert Hoehndorf, King Abdullah University of Science and Technology,
Saudi Arabia
Udo Hahn, Jena University, Germany
Dietrich Rebholz-Schuhmann, Insight Centre for Data Analytics, Irland
Johanna Voelker, Bayer, Germany
Matthias Gietzelt, Hannover Medical School, Germany
Patrick Lambrix, Linköping University, Sweden
Anika Groß, Universität Leipzig, Germany
Benjamin Lang, Centre for Genomic Regulation (CRG), Spain
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