Title |
The epidemiology ontology: an ontology for the semantic annotation of epidemiological resources
|
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Published in |
Journal of Biomedical Semantics, January 2014
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DOI | 10.1186/2041-1480-5-4 |
Pubmed ID | |
Authors |
Catia Pesquita, João D Ferreira, Francisco M Couto, Mário J Silva |
Abstract |
Epidemiology is a data-intensive and multi-disciplinary subject, where data integration, curation and sharing are becoming increasingly relevant, given its global context and time constraints. The semantic annotation of epidemiology resources is a cornerstone to effectively support such activities. Although several ontologies cover some of the subdomains of epidemiology, we identified a lack of semantic resources for epidemiology-specific terms. This paper addresses this need by proposing the Epidemiology Ontology (EPO) and by describing its integration with other related ontologies into a semantic enabled platform for sharing epidemiology resources. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 3 | 5% |
Australia | 2 | 3% |
United States | 2 | 3% |
Spain | 1 | 2% |
Mexico | 1 | 2% |
Unknown | 54 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 22% |
Student > Ph. D. Student | 12 | 19% |
Student > Master | 8 | 13% |
Student > Bachelor | 4 | 6% |
Professor | 3 | 5% |
Other | 12 | 19% |
Unknown | 10 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 19 | 30% |
Agricultural and Biological Sciences | 12 | 19% |
Medicine and Dentistry | 5 | 8% |
Veterinary Science and Veterinary Medicine | 3 | 5% |
Social Sciences | 3 | 5% |
Other | 10 | 16% |
Unknown | 11 | 17% |