Ontology Construction of Technological Knowledge for R&D Trend Analysis

연구 개발 트렌드 분석을 위한 기술 지식 온톨로지 구축

  • 황미녕 (한국과학기술정보연구원 소프트웨어연구실) ;
  • 이승우 (한국과학기술정보연구원 소프트웨어연구실) ;
  • 조민희 (한국과학기술정보연구원 소프트웨어연구실) ;
  • 김순영 (한국과학기술정보연구원 해외정보실) ;
  • 최성필 (한국과학기술정보연구원 소프트웨어연구실) ;
  • 정한민 (한국과학기술정보연구원 소프트웨어연구실)
  • Received : 2012.10.09
  • Accepted : 2012.12.13
  • Published : 2012.12.28


Researchers and scientists spend huge amount of time in analyzing the previous studies and their results. In order to timely take the advantageous position, they usually analyze various resources such as paper, patents, and Web documents on recent research issues to preoccupy newly emerging technologies. However, it is difficult to select invest-worthy research fields out of huge corpus by using the traditional information search based on keywords and bibliographic information. In this paper, we propose a method for efficient creation, storage, and utilization of semantically relevant information among technologies, products and research agents extracted from 'big data' by using text mining. In order to implement the proposed method, we designed an ontology that creates technological knowledge for semantic web environment based on the relationships extracted by text mining techniques. The ontology was utilized for InSciTe Adaptive, a R&D trends analysis and forecast service which supports the search for the relevant technological knowledge.


Technological Knowledge;Ontology Construction;Semantic Web;Information System


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