Conference on Semantics in Healthcare and Life Sciences

The Conference on Semantics in Healthcare and Life Sciences (CSHALS) was a scientific meeting on the practical applications of semantic technology to pharmaceutical R&D, healthcare, and life sciences. The conference was held annually from 2008 to 2014, and was the premier meeting in this domain. In 2015, it as organised as a special interests group (SIG) meeting of the Intelligent Systems for Molecular Biology conference.[1]

Conference on Semantics in Healthcare and Life Sciences
FrequencyAnnually
Location(s)Dublin, Ireland (2015)
Years active7
InauguratedCSHALS 2008
Most recentCSHALS 2015
MemberInternational Society for Computational Biology

Conference topics included a World Wide Web Consortium tutorial on semantic web standards.[2] In 2012, CSHALS took on the additional topic of the application of Big Data to healthcare and life sciences, while maintaining its previous focus on semantic technologies.

Organization

CSHALS was organized by ISCB (International Society for Computational Biology).

List of conferences
  • CSHALS 2008 was held in Cambridge, Massachusetts, United States
  • CSHALS 2009 was held in Cambridge, Massachusetts, United States
  • CSHALS 2010 was held in Cambridge, Massachusetts, United States[3][4]
  • CSHALS 2011 was held in Cambridge, Massachusetts, United States[5]
  • CSHALS 2012 was held in Cambridge, Massachusetts, United States
  • CSHALS 2013 was held in Cambridge, Massachusetts, United States
  • CSHALS 2014 was held in Boston, Massachusetts, United States
  • CSHALS 2015 was held in Dublin, Ireland

References
  1. "2015 by cshals". cshals.github.io. Retrieved 23 March 2017.
  2. "CSHALS Tutorial | Semantic Web Health Care and Life Sciences (HCLS) Interest Group". www.w3.org. Retrieved 23 March 2017.
  3. International Society for Computational Biology, Accomplishments Report 2010 Archived 2013-01-06 at the Wayback Machine.
  4. CSHALS 2010 Press Articles Archived 2012-06-12 at the Wayback Machine.
  5. International Society for Computational Biology, Accomplishments Report 2011 .
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