A Sao-Based Approach for Technologies Evolution Analysis Using Patent Information: Case Study on Graphene Sensor
نویسندگان
چکیده
Introduction The Subject-Action-Object (SAO) structures are composed of Subject (noun phrase), Action (verb phrase) and Object (noun phrase), which can represent technology information with more details in a simple manner and have been widely applied in patent text mining (Cascini, Lueehesi, & Rissone, 2001; Sungchul et al., 2012; Zhang et al., 2014a). This paper presents an approach for technology evolution analysis based on SAO. SAO structures are extracted and cleaned from patent text. The technology information of patents such as problems, solutions, functions and effects are stated by SAO. By calculating the distributions of problems over solution groups, a technology evolution map of problems can be drawn. Graphene sensor patents are selected as a case study.
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