SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map
AbstractThe Outcome-Driven Innovation (ODI) method based on the ‘Jobs-to-be-done’ concept is very useful in the identification of unmet customer needs and has been adopted widely in the industry. The Job Map, a tool of the ODI method, is used to understand customers by defining their behavioral process. Complications must be overcome before the Job Map can be applied to the specific problem in question, such as a time-consuming process, dealing with a large amount of data, and experts’ biased work. To solve these problems, this study develops a patent mining-based method based on the subject-action-object (SAO) structure to support the creation of a Job Map by semi-automatizing data collection and analysis. This effort at better utilizing computers in customer analysis for product design will contribute to expanding computerized methods for solving design and engineering problems in practice. View Full-Text
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Lim, J.; Choi, S.; Lim, C.; Kim, K. SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map. Sustainability 2017, 9, 1386.
Lim J, Choi S, Lim C, Kim K. SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map. Sustainability. 2017; 9(8):1386.Chicago/Turabian Style
Lim, Joohyung; Choi, Sungchul; Lim, Chiehyeon; Kim, Kwangsoo. 2017. "SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map." Sustainability 9, no. 8: 1386.
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