Title
Semantic interoperability for data analysis in the food supply chain
Author
Verhoosel, J.P.C.
van Bekkum, M.
Verwaart, T.
Publication year
2018
Abstract
Food supply chains consist of many links and operate on a global scale with many stakeholders involved from farm to fork. Each stakeholder maintains data about food products that they handle, but this data is not transparently available to all stakeholders in the chain and trust in data sharing is low. In addition, there are various other data sources that contain interesting data for stakeholders in the food chain, such as import/export transactions, production (forecast) data, parcel crop information, local weather predictions and social media streams. To improve their production, growers and traders are very interested in trends in the market and activities in supply and demand. To make all stakeholders in the food chain benefit from these data sources and to share data more transparently, the Dutch horticulture and food domain is developing the HortiCube platform via which various data sources are made accessible to application developers using a secure, linked data application interface. This paper describes the design and engineering of the semantic approach to enable interoperability between data sources. This includes (1) a high-level design of the HortiCube, (2) the metadata ontology used for describing the contents of the data sources in the HortiCube, (3) the common horticulture model used to achieve semantic alignment between data sources in the HortiCube, (4) a test application for a specific product case and (5) a discussion of our results and future work on this topic. The main contribution of our research is the generic solution and ontology design to the semantic challenges that arise when different data sources are combined to answer analysis questions for the user.
Subject
Classifications mapping
Data analysis
Horticulture
Ontologies
Semantic alignment
To reference this document use:
http://resolver.tudelft.nl/uuid:033cddbf-796f-4ed7-a061-fef7b9b4811a
DOI
https://doi.org/10.18461/ijfsd.v9i1.917
TNO identifier
787751
ISSN
1869-6945
Source
International Journal on Food System Dynamics, 9 (9), 101-111
Document type
article