Building the Core Vocabulary of Crop Names to Integrate the Vocabularies by Multiple Government Agencies
Since agriculture is the oldest industry in our society and the basis of our life and economics, knowledge of crops as product of agriculture is also old and spread all over the society. As a result, the names of crops are messy and sometimes inconsistent. It is problematic in the digital and Internet era since interoperability is not assured. In this paper, we proposes Crop Vocabulary (CVO) as the core vocabulary of crop names to solve interoperability and machine-readability on crop names. There are many vocabularies about crops by various food chain stakeholders. Here we picked up three vocabularies issued by Japanese government with respect to food security, namely the Agricultural chemical use reference, the Agricultural chemical residue reference, and the Food composition database, since food security is the primary concern of all food chain stakeholders including farmers and consumers. As the result of comparative analysis of these vocabularies, we defined the concept of crop as the botanical information such as the scientific name of species with additional information such as edible parts, cultivation methods and usage. According to the definition, we investigated these three vocabularies and identified 1,249 crops with unique names. The element of CVO contains the information about the crop itself such as synonym, English name and scientific name as well as links to names in the above-mentioned vocabularies and other external vocabularies such as Wikipedia, AGROVOC and NCBI Taxonomy. We develop web-based API for CVO and an application for the farm management as an example. The value of CVO as a core vocabulary in the field of agriculture is identified by compatibility with existing vocabularies and its usefulness is demonstrated by web services applications developed based on CVO.
KeywordsCrop vocabulary Agriculture Open data Agronomic sciences Knowledge representation Core vocabulary Vocabulary management
This work was supported by Council for Science, Technology and Innovation (CSTI), Cross-ministerial Strategic Innovation Promotion Program (SIP), “Technologies for creating next-generation agriculture, forestry and fisheries” (funding agency: Bio-oriented Technology Research Advancement Institution, NARO).
- 1.Ministry of Agriculture, Forestry and Fisheries (MAFF), Japan: Agricultural chemical use reference. https://www.acis.famic.go.jp/shinsei/3986/3986beppyou1.pdf. Accessed 20 July 2018. (in japanese)
- 2.Ministry of Health, Labor and Welfare (MHLW), Japan: Agricultural chemical residue reference. http://www.mhlw.go.jp/file/06-Seisakujouhou-11130500-Shokuhinanzenbu/0000159254.pdf. Accessed 20 July 2018. (in japanese)
- 3.Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan: Food composition database. http://www.mext.go.jp/component/a_menu/science/detail/__icsFiles/afieldfile/2017/06/22/1365334-1-0321r2.xlsx. Accessed 20 July 2018. (in japanese)
- 4.Ministry of Internal Affairs and Communications (MIC), Japan: Electronic administration open data strategy. http://www.kantei.go.jp/jp/singi/it2/pdf/120704_siryou2.pdf. Accessed 20 July 2018. (in japanese)
- 5.Cabinet Secretariat, Japan: Crop guideline for agriculture IT system. http://www.kantei.go.jp/jp/singi/it2/senmon_bunka/shiryo/170310gl1_besshi.xlsx. Accessed 20 July 2018. (in japanese)
- 6.Verhoosel, J., van Bekkum, M., Verwaart, T.: Semantic interoperability for data analysis in the food supply chain. Int. J. Food Syst. Dyn. 9(1), 101–111 (2018)Google Scholar
- 7.Ministry of Internal Affairs and Communications (MIC), Japan: Statistics Bureau. http://www.stat.go.jp/english/data/nenkan/1431-08e.html. Accessed 20 July 2018
- 8.Joo, S., Koide, S., Takeda, H., Horyu, D., Takezaki, A., Yoshida, T.: Agriculture activity ontology: an ontology for core vocabulary of agriculture activity. In: International Semantic Web Conference (Posters & Demos) (2016)Google Scholar
- 9.Joo, S., Koide, S., Takeda, H., Horyu, D., Takezaki, A., Yoshida, T.: Designing of ontology for domain vocabulary on agriculture activity ontology (AAO) and a lesson learned. In: Li, Y.-F., et al. (eds.) JIST 2016. LNCS, vol. 10055, pp. 32–46. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-50112-3_3CrossRefGoogle Scholar