Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences
Author(s) -
John Mattingly,
Rebecca Boyles,
Cindy P. Lawler,
Astrid C. Haugen,
Allen Dearry,
Melissa Haendel
Publication year - 2016
Publication title -
environmental health perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 282
eISSN - 1552-9924
pISSN - 0091-6765
DOI - 10.1289/ehp.1510438
Subject(s) - interoperability , computer science , standardization , knowledge management , data sharing , sustainability , semantic interoperability , semantic web , world wide web , engineering management , data science , engineering , medicine , ecology , alternative medicine , pathology , biology , operating system
Despite increasing availability of environmental health science (EHS) data, development, and implementation of relevant semantic standards, such as ontologies or hierarchical vocabularies, has lagged. Consequently, integration and analysis of information needed to better model environmental influences on human health remains a significant challenge.
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