[Purpose/significance] The identification of university patent transfer objects has positive significance for improving patent transfer conversion rate, effectively promoting the close integration of technology and economy, and achieving innovation-driven development.[Method/process] This paper used the technical requirements of enterprises to represent the market demand. Firstly, the domain multi-dimensional information technology tree was constructed based on the improved technology tree method, and then this paper analyzed the text characteristics and requirements content characteristics of the technical requirements document to determine the extraction rules and demand types based on the classification of technical requirements, and finally constructed the demand-technology matching model in different scenarios according to the demand type.[Result/conclusion] The feasibility of the method is verified by the patent data of graphene, and the results show that it is an effective means to strategically market college patents and promote patent conversion by matching the patents of colleges based on technical requirements to search for university patent operation customers.
Yi Huifang
,
Wu Hong
. A Study on University Patent Transfer Object Recognition Based on Multi-level Requirements Analysis——Graphene as a Case Study[J]. Library and Information Service, 2020
, 64(12)
: 118
-126
.
DOI: 10.13266/j.issn.0252-3116.2020.12.013
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