CONFERENCE SPONSORS

CONFERENCE HOST UNIVERSITY AND GOLD SPONSOR:

Purdue University
Vice President, Office of Research
Bioinformatics Core

 SILVER SPONSORS:


Indiana University
University Information Technology Services
Department of Biology
School of Informatics and Computing
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University of Michigan, Dept of Computational Medicine and Bioinformatics
BRONZE SPONSORS:


The Research Division
of Ohio University
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Department of Computer Science and Engineering
Eck Institute for Global Health
Complex Networks Lab
University of Notre Dame

EXHIBITOR SHOWCASE SPONSOR:

 

Cincinnati Childrens’s Hospital Medical Center
Division of Biomedical Informatics, University of Cincinnati

POSTER AWARDS SPONSOR:


Faculty of 1000

BEST PAPER AWARD SPONSOR:


Springer

INDUSTRY SPONSOR:



University of Michigan Bioinformatics Core
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PerkinElmer

GENERAL SPONSOR:


Purdue University
Agricultural Research

Conference on Semantics in Healthcare and Life Sciences

About CSHALS 2013

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Updated Sep 10, 2012

Linked Data and Semantic Web technologies have now burst out of the research labs and are becoming effective, cost-saving technologies that are an integral part of the academic and industrial Big Data infrastructure. CSHALS 2013 offers a singular opportunity for academic and industry partners involved in developing and implementing semantically-interoperable technologies to share their insights and experience and learn about the state-of-the-art pertaining to Healthcare and Life Sciences.

Topics covered by CSHALS 2013 span the continuum between standards development and big data workflows - from Life Science data representation to its analysis. We are inviting submissions for poster and oral presentations in the following topic areas:

  • Linked Data - generation, representation, and management of data using the W3C’s Resource Description Framework (RDF) and Linked Data principles.
  • Data Modeling - Ontologies, Taxonomies - practical application of knowledge engineering principles and techniques to data modeling.
  • Text Analysis, NLP, Question Answering - use of semantic technologies for processing natural language.
  • Cloud, Parallel, and Distributed Computing - use of semantic technologies for representation and management of distributed computational resources and workflows.
  • Healthcare eScience - Translational Medicine, Pharmacogenomics, personal health records (PHR) - patient-centric use of semantic web technologies to handle the integration of clinical and biomolecular data.
  • Business Intelligence, Machine Learning, and Analytics - semantic applications for data analysis, inference, and decision-making.
  • Human Computer Interfaces - development of interfaces or design criteria that involve humans in the process of knowledge creation.
  • Clinical Applications - Use of semantic web technology or architectures, including the orchestration of webApp ecosystems, as part of medical care delivery.
  • Molecular Applications - Deployments of semantic web technology in biomolecular and biochemical domains.
  • Applications to Emerging Health Disciplines - Use of the semantic web’s integrative and distributed nature to support emergence of novel applications in health care.

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International Society for Computational Biology

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