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Drivers for the development of an Animal Health Surveillance Ontology (AHSO)
Department of Disease Control and Epidemiology, National Veterinary Institute, Sweden.
Epi-Connect, Skogås, Sweden.
Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. Department of Computer Science and Informatics, Jönköping University, Sweden.ORCID-id: 0000-0001-8767-4136
Department of Disease Control and Epidemiology, National Veterinary Institute, Sweden.ORCID-id: 0000-0003-2233-4020
Vise andre og tillknytning
2019 (engelsk)Inngår i: Preventive Veterinary Medicine, ISSN 0167-5877, E-ISSN 1873-1716, Vol. 166, nr 1, s. 39-48Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Comprehensive reviews of syndromic surveillance in animal health have highlighted the hindrances to integration and interoperability among systems when data emerge from different 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 a major component of any solution will involve the adoption of ontologies. Here we describe the advantages of such an approach, and the steps taken to set up the Animal Health Surveillance Ontological (AHSO) framework. The AHSO framework is modelled in OWL, the W3C standard Semantic Web language for representing rich and complex knowledge. We illustrate how the framework can incorporate knowledge directly from domain experts or from data-driven sources, as well as by integrating existing mature ontological components from related disciplines. The development and extent of AHSO will be community driven and the final products in the framework will be open-access.

sted, utgiver, år, opplag, sider
Elsevier, 2019. Vol. 166, nr 1, s. 39-48
Emneord [en]
syndromic surveillance classification, vocabulary, terminology, standards
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-155036DOI: 10.1016/j.prevetmed.2019.03.002ISI: 000465055100006PubMedID: 30935504OAI: oai:DiVA.org:liu-155036DiVA, id: diva2:1295063
Forskningsfinansiär
Vinnova
Merknad

Funding agencies: Swedens innovation agency (VINNOVA)

Tilgjengelig fra: 2019-03-09 Laget: 2019-03-09 Sist oppdatert: 2019-07-26bibliografisk kontrollert

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