Data on patent and scientific paper is considered as a useful information source for analyzing technological information and has been widely utilized. Technology big data is analyzed in various ways to identify the latest technological trends and predict future promising technologies. Clustering is one of the ways to discover new features by creating groups from technology big data. Patent includes refined bibliographic information such as patent classification code whereas scientific paper does not have appropriate bibliographic information for clustering. This research proposes a new approach for clustering data of scientific paper by utilizing reference titles in each scientific paper. In this approach, the reference titles are considered as textual information because each reference consists of the title of the paper that represents the core content of the paper. We collected the scientific paper data, extracted the title of the reference, and conducted clustering by measuring the text-based similarity. The results from the proposed approach are compared with the results using existing methodologies that one is the approach utilizing textual information from titles and abstracts and the other one is a citation-based approach. The suggested approach in this paper shows statistically significant difference compared to the existing approaches and it shows better clustering performance. The proposed approach will be considered as a useful method for clustering scientific papers.

목 적: 과학기술 발달에 따른 안경업계의 미래를 예측하고 그에 따른 대응책을 마련하기 위함이다. 방 법: 세계의 미래 예측 기관들의 자료와 국내 정부기관의 보고서를 수집하여 국내 안경업계의 상황을 진단했다. 결 과: 안경 산업의 생산성은 전반적으로 증가하지만 고용 인력은 감소하고 있다. 전자동 안경 조제 장 비가 개발되고 있으며 안굴절력계가 일반인에 의해 사용될 수 있다. 결 론: 안경사는 독일의 장인 제도에서 얻을 수 있는 가치 창조를 개발해야 하며 굴절검사를 넘어 시재 활 훈련을 할 수 있어야 한다.