Frontiers of Data and Computing ›› 2023, Vol. 5 ›› Issue (1): 28-40.

CSTR: 32002.14.jfdc.CN10-1649/TP.2023.01.003

doi: 10.11871/jfdc.issn.2096-742X.2023.01.003

• Special Issue: Resources, Technology and Policy of Scientific Data • Previous Articles     Next Articles

Research and Applications of Semantic Association for Scientific Data

LIU Feng1(),HAN Fang1,*(),WEI Tianke1,Chen Kun1,ZHAO Yuehong2,Wu Hui3,FAN Guomei4   

  1. 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100083, China
    2. Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
    3. Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
    4. Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
  • Received:2023-01-20 Online:2023-02-20 Published:2023-02-20
  • Contact: HAN Fang E-mail:liufeng@cnic.cn;hanfang@cnic.cn

Abstract:

[Objective] Under the new paradigm of data-intensive and integrated scientific research, there is an urgent need to transform traditional data-sharing services into data knowledge-based services. Using semantic association technology to organize, associate, and discover knowledge among massive scientific data is the core path to solving this problem. [Methods] This paper conducts extensive research on the overall status of data association technology at home and abroad and the research progress in application fields. In-depth research has been conducted on key technologies such as structured data association and publishing, long-text semantic mining, and data association fusion. It has preliminarily realized the association, publishing, and semantic fusion of scientific data. [Results] The application practice in chemical, plant, and microbial data centers has verified that the semantic association and fusion technology of scientific data is a feasible and important mean to realize data knowledge-related services. [Conclusions] In the future, the scientific data association and fusion network established by Data Centers in various fields will become an important data infrastructure to serve the needs of the new paradigm of scientific research.

Key words: scientific data, data association, semantic association, fusion service