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Design of a Knowledge Framework for Structured Journalism Service based on Scientific Column Database

Sung-Pil Choi 1 Hyesun Kim 2 Ji-Young Kim 2

1경기대학교
2한국과학기술정보연구원

Accredited

ABSTRACT

This paper proposes a noble service architecture based on scientific infographic as well as semi-automatic knowledge process for ‘KISTI’s Scent of Science’ database, which has been highly credited as a science journalism service in Korea. Unlike other specialized scientific databases for domain experts and scientists, the database aims at providing comprehensible and intuitive information about various important scientific concepts which may seem not to be easily understandable to general public. In order to construct a knowledge-base from the database, we deeply analyze the traits of the database and then establish a semi-automatic approach to identify and extract various scientific intelligence from its contents. Furthermore, this paper defines a scientific infographic service platform based on the knowledge-base by offering its detailed structure, methods and characteristics, which shows a progressive future direction for science journalism service.

Citation status

* References for papers published after 2023 are currently being built.