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