과학기술 문헌 빅데이터 분석·활용 플랫폼 기술 개발

Abstract

본 사업의 최종 목표는 “과학기술 문헌 빅데이터 분석·활용 플랫폼의 기술적 기반 확보”에 있으며, 당해년도에는 과학기술 문헌 빅데이터 분석·활용 플랫폼 및 분석 응용 기술 개발을 통해 신속학고 객관적인 과학기술 전략수립 지원을 달성 목표로 하여 다음과 같은 내용이 수행되었음. ○ 과학기술 문헌 빅데이터 마이닝 핵심 기술 개발 － 과학기술 문헌 빅데이터 텍스트 마이닝 기술 개발 － 과학기술 문헌 빅데이터의 시맨틱 지식화 기술 개발 ○ 고성능 시맨틱 분석 핵심 기술 개발 － 분산․병렬 기반 고성능 시맨틱 추론 기술 개발 － 분산․병렬 기반 과학기술 문헌 빅데이터 테스트베드 모니터링 및 운영 ○ 과학기술 문헌 빅데이터 연관관계 분석 응용 기술 개발 － 과학기술 문헌 빅데이터의 연관관계 분석 응용 모델 및 평가 연구 － 과학기술 문헌 빅데이터의 연관관계 분석 응용 모듈 및 어플리케이션 개발

Ⅳ. Result of research and development ○ Development of core technologies on big data mining for science and technology literature － Development of text mining technologies on big data of science and technology literature • Development of distributed and parallel technologies for high-speed semantic knowledge creation • Development of entity and relation extraction system on distributed and parallel environment • Development of knowledge relationship extraction technology for knowledge classification － Development of semantic knowledge building technology on data of science and technology literature • Development of knowledge slot filling technology for semantic knowledge building technology on science and technology big data ○ Development of core technologies on high-throughput semantic analysis － Development of high-throughput semantic inference technology base on distributed parallel computing • Development of high-scale triple loading and inference technology － Monitoring & operating big data testbed for science and technology literature based on distributed parallel computing • Development of big data testbed monitoring system ○ Development of application technology of big data relationship analysis on science and technology literature － Research on application model and evaluation for big data relationship analysis on science and technology literature • Improvement on usability and reliability achieving 110% of user experience measure comparing to state-of-the-art research information analysis systems • Development of evaluation criteria for knowledge relationship convergence model － Development of application module and application for big data relationship analysis on science and technology literature • Development of service platform for R&D trend analysis and prediction based on prescriptive analytics • Development of automatic report generation technology based on prescriptive analytics