Belief propagation through provenance graphs
Belief propagation through provenance graphs
Provenance of food describes food, the processes in food transformation, and the food operators from the source to consumption; modelling the history food. In processing food, the risk of contamination increases if food is treated inappropriately. Therefore, identifying critical processes and applying suitable prevention actions are necessary to measure the risk; known as due diligence. To achieve due diligence, food provenance can be used to analyse the risk of contamination in order to find the best place to sample food. Indeed, it supports building rationale over food-related activities because it describes the details about food during its lifetime. However, many food risk models only rely on simulation with little notion of provenance of food. Incorporating the risk model with food provenance through our framework, prFrame, is our first contribution. prFrame uses Belief Propagation (BP) over the provenance graph for automatically measuring the risk of contamination. As BP works efficiently in a factor graph, our next contribution is the conversion of the provenance graph into the factor graph. Finally, an evaluation of the accuracy of the inference by BP is our last contribution.
provenance graph, food provenance, belief propagation, risk model, prFrame, sum-product algorithm, inference, factor graph
145-157
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
(2018)
Belief propagation through provenance graphs.
Balhajjame, K., Gehani, A. and Alper, P.
(eds.)
In Provenance and Annotation of Data and Processes: IPAW 2018.
vol. 11017,
Springer.
.
(doi:10.1007/978-3-319-98379-0_11).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Provenance of food describes food, the processes in food transformation, and the food operators from the source to consumption; modelling the history food. In processing food, the risk of contamination increases if food is treated inappropriately. Therefore, identifying critical processes and applying suitable prevention actions are necessary to measure the risk; known as due diligence. To achieve due diligence, food provenance can be used to analyse the risk of contamination in order to find the best place to sample food. Indeed, it supports building rationale over food-related activities because it describes the details about food during its lifetime. However, many food risk models only rely on simulation with little notion of provenance of food. Incorporating the risk model with food provenance through our framework, prFrame, is our first contribution. prFrame uses Belief Propagation (BP) over the provenance graph for automatically measuring the risk of contamination. As BP works efficiently in a factor graph, our next contribution is the conversion of the provenance graph into the factor graph. Finally, an evaluation of the accuracy of the inference by BP is our last contribution.
Text
IPAW2018_2_CameraReady_Black (002)
- Accepted Manuscript
More information
Accepted/In Press date: 13 May 2018
e-pub ahead of print date: 6 September 2018
Venue - Dates:
7th International Provenance and Annotation Workshop, King's College London, London, United Kingdom, 2018-07-09 - 2018-07-10
Keywords:
provenance graph, food provenance, belief propagation, risk model, prFrame, sum-product algorithm, inference, factor graph
Identifiers
Local EPrints ID: 421810
URI: http://eprints.soton.ac.uk/id/eprint/421810
PURE UUID: 2cd24865-fb3e-44b2-9d6f-1fde91e3bd68
Catalogue record
Date deposited: 28 Jun 2018 16:30
Last modified: 16 Mar 2024 07:10
Export record
Altmetrics
Contributors
Author:
Belfrit, Victor Batlajery
Author:
Mark Weal
Author:
Luc Moreau
Editor:
K. Balhajjame
Editor:
A. Gehani
Editor:
P. Alper
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics