摘要：

Abstract:

【Purpose/significance】 Scientific and technical intelligence requirements for multiple scenarios and dimensions including

strategy plans, science research, major projects, achievements, marketing, and others are getting increasing attention. However, these

new types of science and technology resources are huge, more complex, and widely dispersed in every corner of the Internet, and al⁃

most impossible to be processed by traditional information technology methods, thus urgently driving us to build a new practical open

source scientific and technical intelligence architecture to deal with changes more efficiently

.

【Method/process】 Based on the new fea⁃

tures and challenges of the integration of scientific and technological information and Internet environment, the article proposed 5 key

capabilities, including: ①Smart open source data matching and crawling;②Multiple sources and types big data governance and stan⁃

dardization;③Dynamic knowledge graph ontology, extraction, and database;④Data mining and computing algorithms for different sce⁃

narios; ⑤Smart and personalized intelligence service. To achieve the capability of data mining and analyzing of open source scientific

and technical intelligence based on data intelligent technology.【Result/conclusion】 This article has comprehensively and systemati⁃

cally proposed a technical architecture covering all steps of open-source science and technology intelligence processing, including not

only fundamental technology, but proposal, production, project, marketing, and other related intelligence.

【

Innovation/limitation】 By

deeply integrating features of technology and science intelligence and open-source intelligence, the article proposed a flexible techni⁃

cal architecture for achieving deep insight of science and technology information.