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GACS Core: Creation of a Global Agricultural Concept Scheme

  • Thomas BakerEmail author
  • Caterina CaraccioloEmail author
  • Anton Doroszenko
  • Osma Suominen
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 672)

Abstract

The most frequently used concepts from AGROVOC, CABT, and NALT – three major thesauri in the area of food and agriculture – have been merged into a Global Agricultural Concept Scheme, with 15,000 concepts and over 350,000 terms in 28 languages in its beta release of May 2016. This set of core concepts (“GACS Core”) is seen as the first step towards a more comprehensive Global Agricultural Concept Scheme. In the context of a new Agrisemantics initiative, GACS is intended to serve as hub linking user-oriented thesauri with semantically more precise and specialized domain ontologies linked, in turn, to quantitative datasets. The goal is to improve the discoverability and semantic interoperability of agricultural information and data for the benefit of researchers, policy-makers, and farmers in support of innovative responses to the challenges of food security under conditions of climate change.

Keywords

Hierarchical Relation Ontology Match Sustainable Food System Quantitative Dataset UMLS Semantic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgement

The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO.

References

  1. 1.
    L’Abate, G., Caracciolo, C., Pesce, V., Geser, G., Protonotarios, V., Costantini, E.A.: Exposing vocabularies for soil as linked open data. Inf. Process. Agric. 2(3–4), 208–216 (2015). http://dx.doi.org/10.1016/j.inpa.2015.10.002 Google Scholar
  2. 2.
    Shrestha, R., Matteis, L., Skofic, M., Portugal, A., McLaren, G., Hyman, G., Arnaud, E.: Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the crop ontology developed by the crop communities of practice. Front. Physiol. 3 (2012). http://dx.doi.org/10.3389/fphys.2012.00326

Copyright information

© FAO 2016

Authors and Affiliations

  1. 1.Food and Agriculture Organization of the United NationsRomeItaly
  2. 2.CAB InternationalWallingfordUK
  3. 3.National Library of FinlandHelsinkiFinland

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