DILS 2018

DILS 2018
13th International Conference on Data Integration in the Life Sciences
Event in series	DILS
Dates	2018/11/20 (iCal) - 2018/11/21
Homepage:	https://events.tib.eu/dils2018/
Location
Location:	Hannover, Germany
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Committees
Organizers:	Maria-Esther Vidal
Table of Contents

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About

The Thirteenth International Conference on Data Integration in the Life Sciences 2018 (DILS2018) will be held by TIB – Leibniz Information Centre for Science and Technology in Hannover (Germany) at Leibnizhaus on November 20-21, 2018.

The conference aim is to foster discussion, exchange, and innovation in research and development in the areas of data integration and data management for the life sciences. Researchers, professionals and students from computer science, engineering, medicine, and biology are invited to share their knowledge and experience.

The thirteenth edition of DILS provides a forum for the discussion of Big data on the life sciences, including challenges and technical solutions for transforming Big data into knowledge from which actionable insights can be extracted.

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.

The conference is being hosted by TIB – Leibniz Information Centre for Science and Technology (TIB in Hannover), L3S Research Center Leibniz Universität Hannover (L3S in Hannover), ZB MED – Information Centre for Life Sciences (ZB MED in Cologne/Bonn) and MHH - Hannover Medical School (MHH in Hannover).

Call for papers

Topics of Interests 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 interest include, but are not limited to:

Challenges and opportunities with Big life science data

Big life science data integration and management

Authenticity, privacy, security, and trust in Big life science data

Knowledge graphs from Big life science data

Knowledge representation and discovery from Big life science data

Knowledge extraction for Big 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 Big life science data

Exposing Big 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 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 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

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)”