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prFood: Ontology principles for provenance and risk in the food domain

prFood: Ontology principles for provenance and risk in the food domain
prFood: Ontology principles for provenance and risk in the food domain
An ontology, a formal representation of domain knowledge, is an integral building block of the semantic web and is important in building an application within interdisciplinary domains. In the food domain, regulations require Food Business Operators (FBOs) to comply with traceability and track-ability measures when handling food in order to assess risk. In this paper, we identify several requirements to model food, food history, and risk of contamination in order to support the safety regulations of food. Using those requirements, we also identify and apply several design principles for building an ontology called prFood that encompasses Interdisciplinary domains, food and risk. In order to apply safe handling of food in the food supply chain, we integrate and incorporate the pre-existing food ontologies with prFood by implementing a mapping procedure. Finally, we validate our approach by answering several use cases derived from EU and/or UK Food Regulations.
Batlajery, Belfrit, Victor
2ab3069d-8734-4ba0-9846-ec0ef8cdb897
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Chapman, Adriane
721b7321-8904-4be2-9b01-876c430743f1
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Batlajery, Belfrit, Victor
2ab3069d-8734-4ba0-9846-ec0ef8cdb897
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Chapman, Adriane
721b7321-8904-4be2-9b01-876c430743f1
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8

Batlajery, Belfrit, Victor, Weal, Mark, Chapman, Adriane and Moreau, Luc (2017) prFood: Ontology principles for provenance and risk in the food domain. IEEE International Conference on Semantic Computing, Laguna Hills, United States. 31 Jan - 02 Feb 2018. 8 pp. (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

An ontology, a formal representation of domain knowledge, is an integral building block of the semantic web and is important in building an application within interdisciplinary domains. In the food domain, regulations require Food Business Operators (FBOs) to comply with traceability and track-ability measures when handling food in order to assess risk. In this paper, we identify several requirements to model food, food history, and risk of contamination in order to support the safety regulations of food. Using those requirements, we also identify and apply several design principles for building an ontology called prFood that encompasses Interdisciplinary domains, food and risk. In order to apply safe handling of food in the food supply chain, we integrate and incorporate the pre-existing food ontologies with prFood by implementing a mapping procedure. Finally, we validate our approach by answering several use cases derived from EU and/or UK Food Regulations.

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Accepted/In Press date: 8 December 2017
Venue - Dates: IEEE International Conference on Semantic Computing, Laguna Hills, United States, 2018-01-31 - 2018-02-02

Identifiers

Local EPrints ID: 418252
URI: https://eprints.soton.ac.uk/id/eprint/418252
PURE UUID: a411b10a-f3d6-4e50-b92f-61c614bc6217
ORCID for Belfrit, Victor Batlajery: ORCID iD orcid.org/0000-0001-7637-9481
ORCID for Mark Weal: ORCID iD orcid.org/0000-0001-6251-8786
ORCID for Adriane Chapman: ORCID iD orcid.org/0000-0002-3814-2587
ORCID for Luc Moreau: ORCID iD orcid.org/0000-0002-3494-120X

Catalogue record

Date deposited: 26 Feb 2018 17:30
Last modified: 06 Jun 2018 13:08

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Contributors

Author: Belfrit, Victor Batlajery ORCID iD
Author: Mark Weal ORCID iD
Author: Adriane Chapman ORCID iD
Author: Luc Moreau ORCID iD

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