Development of an animal health surveillance ontology

FC Dóreas, F Vial, K Hammar, A Lindberg, E Blomqvist, CW Revie

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

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.
LanguageEnglish
Title of host publicationProceeding of the 3rd International Conference of Animal Health Surveillance
Place of PublicationWellington, New Zealand
Pages97-99
Number of pages3
Volume331
Publication statusPublished - 4 May 2017

Fingerprint

Ontology
Animals
Health
Public health
Interoperability
Information management

Keywords

  • syndronic surveillance
  • classification
  • vocabulrary
  • terminology standards

Cite this

Dóreas, FC., Vial, F., Hammar, K., Lindberg, A., Blomqvist, E., & Revie, CW. (2017). Development of an animal health surveillance ontology. In Proceeding of the 3rd International Conference of Animal Health Surveillance (Vol. 331, pp. 97-99). Wellington, New Zealand.
Dóreas, FC ; Vial, F ; Hammar, K ; Lindberg, A ; Blomqvist, E ; Revie, CW. / Development of an animal health surveillance ontology. Proceeding of the 3rd International Conference of Animal Health Surveillance. Vol. 331 Wellington, New Zealand, 2017. pp. 97-99
@inproceedings{1976c9ffdd6848f9b1ff18ef523c1d25,
title = "Development of an animal health surveillance ontology",
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.",
keywords = "syndronic surveillance, classification, vocabulrary, terminology standards",
author = "FC D{\'o}reas and F Vial and K Hammar and A Lindberg and E Blomqvist and CW Revie",
year = "2017",
month = "5",
day = "4",
language = "English",
volume = "331",
pages = "97--99",
booktitle = "Proceeding of the 3rd International Conference of Animal Health Surveillance",

}

Dóreas, FC, Vial, F, Hammar, K, Lindberg, A, Blomqvist, E & Revie, CW 2017, Development of an animal health surveillance ontology. in Proceeding of the 3rd International Conference of Animal Health Surveillance. vol. 331, Wellington, New Zealand, pp. 97-99.

Development of an animal health surveillance ontology. / Dóreas, FC; Vial, F; Hammar, K; Lindberg, A; Blomqvist, E; Revie, CW.

Proceeding of the 3rd International Conference of Animal Health Surveillance. Vol. 331 Wellington, New Zealand, 2017. p. 97-99.

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

TY - GEN

T1 - Development of an animal health surveillance ontology

AU - Dóreas, FC

AU - Vial, F

AU - Hammar, K

AU - Lindberg, A

AU - Blomqvist, E

AU - Revie, CW

PY - 2017/5/4

Y1 - 2017/5/4

N2 - 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.

AB - 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.

KW - syndronic surveillance

KW - classification

KW - vocabulrary

KW - terminology standards

M3 - Conference contribution book

VL - 331

SP - 97

EP - 99

BT - Proceeding of the 3rd International Conference of Animal Health Surveillance

CY - Wellington, New Zealand

ER -

Dóreas FC, Vial F, Hammar K, Lindberg A, Blomqvist E, Revie CW. Development of an animal health surveillance ontology. In Proceeding of the 3rd International Conference of Animal Health Surveillance. Vol. 331. Wellington, New Zealand. 2017. p. 97-99