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Cited 8 time in webofscience Cited 9 time in scopus
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SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map

Title
SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map
Authors
Lim, JoohyungChoi, SungchulLim, ChiehyeonKIM, KWANG SOO
Date Issued
Aug-2017
Publisher
MDPI Open Access Publishing
Abstract
The 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.
URI
http://oasis.postech.ac.kr/handle/2014.oak/50481
ISSN
2071-1050
Article Type
Article
Citation
Sustainability, vol. 9, no. 8, 2017-08
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김광수KIM, KWANG SOO
Dept of Industrial & Management Enginrg
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