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D2.1 - Data Models & Representations

Authors: Boytcheva, Svetla; Tarkalanov, Plamen; Tulechki, Nikola; Pavlin Gyurov; Rusinov, Nikola;

D2.1 - Data Models & Representations

Abstract

This document presents the initial version of the data models developed within The Food Safety Market (TheFSM) project and their machine-readable representations. In the document we briefly present data types, data sources, and data formats. Special attention is paid to the domain-specific ontologies, standard classifications, and vocabularies. The result data models are based on the desk research and analysis, based on data inventory of publicly available datasets, as well as dataset samples provided by TheFSM consortium. The detailed analysis of data requirements of all use cases and certification schemes serves as a basis for TheFSM integrated data model. Developed machine-readable data models are in compliance with the industry-accepted standards in order to ensure interoperability of TheFSM platform. This document will be updated twice at M24 and M36 to show the progress in terms of data interoperability and coverage.

Keywords

food safety, certification, big data, standards

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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