2020
DOI: 10.1002/csc2.20092
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Knowledge representation and data sharing to unlock crop variation for nutritional food security

Abstract: Meeting the challenge of food and nutritional security requires ongoing innovation, particularly in managing dietary nutritional information for pre-breeding analysis, selection, and cultivation of specific food crops and cultivars. At present, the ability to compare the relative nutritional value of crops is limited, with data management systems for most crops often inconsistent and poorly integrated. Here, we review generic efforts to standardize the description and management of crop trait data and discuss … Show more

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Cited by 11 publications
(8 citation statements)
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References 83 publications
(93 reference statements)
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“…Such features are notably lacking from FCT/FCDB. The structured vocabulary we have defined here is underpinning the establishment of a Crop Dietary Nutrition Ontology (CDNO), which is expected to increase interoperability of data sources between breeders and nutritionists.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Such features are notably lacking from FCT/FCDB. The structured vocabulary we have defined here is underpinning the establishment of a Crop Dietary Nutrition Ontology (CDNO), which is expected to increase interoperability of data sources between breeders and nutritionists.…”
Section: Discussionmentioning
confidence: 99%
“…Although some attempts have been made to establish controlled vocabularies for nutritional components such as ‘protein’ and ‘lipid’, these are incomplete and inconsistent. For instance, neither Crop Ontology, FoodOn or OntoFood represents a comprehensive set of nutritional components or dietary functions, nor do they provide sufficient detail in terms of structured relationships between terms . This limits their utility for managing and comparing data within and between crops.…”
Section: Introductionmentioning
confidence: 99%
“…Of the few relevant ontologies that were identified within the literature, most lacked rich semantic correlations, or do not model key components that are required for the purposes of the knowledge-based expert AI system that employs NAct, since they serve a different purpose than the scope of NAct. For example, seminal works such as FoodOn [8], ONS [9], FOBI [10] and CDNO [11] are of relatively shallow expressivity, focusing on extensively modelling, structuring and relating food products and their biochemical role for data retrieval, while lacking enough axiomatic interconnections that allow for advanced recommendation of healthy dietary directives. Comparably, several ontologies that deal with biochemical properties of foods such as ONE [12] and FIDEO [13] bear similar expressivity and are focused on the biochemical properties of foods in relation to very particular health issues (respectively, epidemics and drug reactions) that eschew from the general healthy dietary directives domain.…”
Section: Related Workmentioning
confidence: 99%
“…In the paper [11], the main objective is to indicate the tasks where semantics is used or be used for the treatment of agricultural data and to expose the highlighting of bottlenecks, limitations and impacts on interoperability of the current situation of semantics in agriculture. In the paper [6], the development of a crop dietary nutrition ontology (ONDC) was proposed, which exposes a controlled and structured vocabulary for dietary composition and nutritional function, examples of specific use cases and different end users who would benefit from the use of ONDC terms in their database searches are provided. This development is transform the way crops can be compared in terms of optimal dietary nutritional values.…”
Section: Knowledge Representation Of Various Cropsmentioning
confidence: 99%