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FOPNet:A comprehensive functional semantic knowledge graph for deep technical analysis in patents | Synapse
March 3, 2026
FOPNet:A comprehensive functional semantic knowledge graph for deep technical analysis in patents
RW
Rui Wang
Shihezi University
ZW
Ziyi Wan
Beijing Information Science & Technology University
HZ
Hongyu Zhao
Tencent (China)
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Key Points
The functional semantic knowledge graph enables advanced technical analysis of patents, enhancing comprehension and accessibility.
Key metrics indicate that using the graph improves analysis accuracy in deep technical contexts related to patents by 30% over traditional methods.
Observational analysis leverages machine learning and natural language processing to analyze complex patent data effectively across various fields.
This approach supports innovation by allowing for more comprehensive patent assessments and collaborative research efforts.
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Wang et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75a18c6e9836116a1f9ea
https://doi.org/https://doi.org/10.1016/j.wpi.2026.102427
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