Development of an animal health surveillance ontology
Dóreas, FC and Vial, F and Hammar, K and Lindberg, A and Blomqvist, E and Revie, CW; (2017) Development of an animal health surveillance ontology. In: Proceeding of the 3rd International Conference of Animal Health Surveillance. New Zealand Veterinary Association, Wellington, New Zealand, pp. 97-99.
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Abstract
Comprehensive reviews of veterinary syndromic surveillance have pointed out the hindrances to integration and interoperability among systems using different data sources. Discussions with syndromic surveillance experts in the fields of animal and public health, as well as computer scientists from the field of information management, have led to the conclusion that the solution needed is an ontology. Here we describe the advantages of the approach, and the methodological steps planned around the launch, in 2017, of a community of developers and users of the Animal Health Surveillance Ontology (AHSO). Development is expected to be community driven and the final product will be open-access.
ORCID iDs
Dóreas, FC, Vial, F, Hammar, K, Lindberg, A, Blomqvist, E and Revie, CW ORCID: https://orcid.org/0000-0002-5018-0340;-
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Item type: Book Section ID code: 68978 Dates: DateEvent4 May 2017Published30 January 2017AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 24 Jul 2019 08:21 Last modified: 11 Nov 2024 15:18 URI: https://strathprints.strath.ac.uk/id/eprint/68978