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Construction of Big Data Center for Medicinal Biological Resources

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2020, 15(5), pp.721-730
  • DOI : 10.34163/jkits.2020.15.5.015
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : August 6, 2020
  • Accepted : October 13, 2020
  • Published : October 31, 2020

Yun Ji Jang 1 Taehong Kim 1 Myung-ku Lee 1 Jang Ho 1 Yea Sang-Jun 1 Kim Sang-Kyun 1

1한국한의학연구원

Accredited

ABSTRACT

This study aims to propose a big data center to construct the information on medicinal biological resources and provide the infrastructure to open and share them. The information on the medicinal biological resources consists of basic data such as effects, treatments, and warnings of medicinal biological resources, biochemical data such as chemical compounds of medicinal materials and mappings among compounds and targets, and utilization data such as locations and times of discovery of medicinal resources. In order to ensure the data compatibility, all data was constructed in an open format. The bigdata of medicinal biological resources are opened and searched on our bigdata center (http://kmbigdata.kr) which is constructed based on CKAN. Our bigdata center provides medicinal biological resource data in CSV and RDF file format along with their metadata in DCAT format. Moreover, medicinal biological resource data are provided to the forest bigdata platform using ESB. Therefore, our data can be obtained on the forest big data exchange (http://bigdata-forest.kr). By using the bigdata center and forest big data exchange, it is expected that domain experts and the publics will be able to use the accurate and useful data on medicinal biological resources for the health care and biotechnology companies will be able to search our data to make products such as new drugs and functional foods.

Citation status

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