화학물질안전의 소셜빅데이터 분석을 위한 온톨로지 구축

초록

Big data analysis on chemical safety can be used to predict risks and find effective countermeasures. However, since big data alone is unstructured data, it is necessary to build an ontology to convert to valuable data. In order to construct the ontology of the chemical safety field, words were collected from 45 research reports and papers, and classified and layered. As a result, the large categories were preventive factor, accident risk factor, result factor, and social relation factor. Then, ontology was constructed by subdividing into middle categories and subcategories. The ontology developed in this study is meaningful in suggesting the direction of utilization of big data in the prediction and policy of chemical safety risk.

키워드