Optimizing semantic MEDLINE for translational science studies using semantic web technologies

Cui Tao, Yuji Zhang, Guoqian Jiang, Matt Mouley Bouamrane, Christopher G. Chute

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Semantic MEDLINE provides comprehensive resources with structured annotations that have a potential to facilitate translational studies in the biomedical domain. It is computationally challenging, however, to perform queries directly from the data in the current Semantic MEDLINE database. In this research, we propose a domain pattern driven approach to optimize the Semantic MEDLINE data organization and representation for translational science studies using the Resource Description Framework (RDF) and Semantic Web technologies.

Original languageEnglish (US)
Title of host publicationMIX-HS'12 - Proceedings of the 2nd International Workshop on Managing Interoperability and Complexity in Health Systems, Co-located with CIKM 2012
Pages53-57
Number of pages5
DOIs
StatePublished - Dec 7 2012
Externally publishedYes
Event2nd International Workshop on Managing Interoperability and Complexity in Health Systems, MIX-HS 2012, Collocated with the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012 - Maui, HI, United States
Duration: Oct 29 2012Oct 29 2012

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other2nd International Workshop on Managing Interoperability and Complexity in Health Systems, MIX-HS 2012, Collocated with the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012
CountryUnited States
CityMaui, HI
Period10/29/1210/29/12

Keywords

  • RDF
  • Semantic MEDLINE
  • Translational studies

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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