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[CfP] 13th Int. Conf. on Data Integration in the Life Sciences (DILS 2018)

From: Sören Auer <auer@l3s.de>
Date: Mon, 2 Jul 2018 14:42:45 +0200
To: semantic-web@w3.org, Linking Open Data <public-lod@w3.org>
Message-ID: <3844899f-8856-636c-8f2d-268bb34dd4ef@l3s.de>
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.


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*

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 rigor
and practical relevance to DILS 2018. Four types of papers will be
* 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:

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)”
Received on Monday, 2 July 2018 12:43:17 UTC

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