[Objective] This paper proposes a Subject-Based Early Warning System for Patents, which provides a solution to long-term project tracking, early warning analysis, and data reuse. [Methods] Subject-Based Early Warning System for Patents integrated some open source systems and tools (e.g.: DSpace, OpenRefine, ECharts, VOSviewer, etc.) and developed the functions of data storing, tracking, classifying, cleansing, analyzing and managing. [Results] First, we constructed the new system with the subject of extreme ultraviolet lithography. Second, we examined the feasibility and effectiveness of the new system. [Limitations] The data processing automation, data analysis indicators, and content mining need to be optimized. [Conclusions] The proposed system could track, manage and utilize patent information effectively.
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Wang Li,Ding Yingjie,Wu Ming. Building Subject-Based Early Warning System for Patents. New Technology of Library and Information Service, 2016, 32(10): 98-104.
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