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cfp: 11th International Conference on Data Integration in the Life Sciences (DILS 2015)

From: Ashutosh Jadhav <ashutosh121@gmail.com>
Date: Mon, 16 Feb 2015 11:46:53 -0500
Message-ID: <CABb-HY7Q5ACH6Kcu3XKRxyOaF737WHLonCPBRhtGgErOPvL9ew@mail.gmail.com>
To: HCLS <public-semweb-lifesci@w3.org>
*Call for Papers*

* 11th **International Conference on Data Integration in the Life Sciences
2015** (DILS 2015)*

*July 9-10, University of Southern California, Los Angeles, CA, USA*


The Eleventh International Conference on Data Integration in the Life
Sciences 2015 (DILS2015) will be  held at the University of Southern
California, on July 9-10, 2015. 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 and
professionals from biology, medicine,  computer science and engineering are
invited to share their knowledge and experience.



March 1, 2015: Paper submission deadline for research, industry,
application and experience papers, Graduate student research consortium

April 15, 2015: Notification of acceptance

May 15, 2015: Camera-ready copy due

July 9-10, 2015: Conference
Poster and demonstration papers (up to 4 pages) have a later deadline of
April 1 2015



* Data integration systems for the life sciences
* Common data models, elements, and standards
* Ontology mappings and evolution
* Large-scale data analysis for the life sciences
* Architectures and data management techniques for the life sciences
* Query processing and optimization for biological data
* Biological data sharing and update propagation
* Query formulation assistance for scientists
* Modeling of life sciences data
* Schema-matching in life sciences datasets
* Privacy-preserving data integration and management
* Data owner sensitive data sharing
* Biomedical data integration issues in eScience
* Laboratory information management systems in biology (including workflow
* Biomedical metadata management (including provenance)
* Text analytics over unstructured data
* Scientific results arising from innovative data integration solutions
* Exposing biomedical data for integration (APIs, Linked Open Data, SPARQL
* Creation and use of clinical data repositories
* Data integration in clinical and translational research
* Integration of genotypic and phenotypic data
* Ethical, legal and social issues with biomedical data integration
* "Big Data" infrastructure applicability for life sciences
* Virtual appliances for shared data analysis


Naveen Ashish, Keck School of Medicine, University of Southern California (
Jose-Luis Ambite, USC Information Sciences Institute (ambite@isi.edu)
Carl Kesselman (carl@isi.edu)
Louiqa Raschid (louiqa@umiacs.umd.edu)

Received on Monday, 16 February 2015 16:47:55 UTC

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