An SAO-based text mining approach to building a technology tree for technology planning

被引:143
|
作者
Choi, Sungchul [2 ]
Park, Hyunseok [3 ]
Kang, Dongwoo [1 ]
Lee, Jae Yeol [4 ]
Kim, Kwangsoo [1 ]
机构
[1] Pohang Univ Sci & Technol, Dept Ind & Management Engn, Pohang 790784, Kyungbuk, South Korea
[2] Samsung Adv Inst Technol Mt 14 1, CTO Off, Yongin 446712, Gyeonggi Do, South Korea
[3] Pohang Univ Sci & Technol, Dept Technol & Innovat Management, Pohang 790784, Kyungbuk, South Korea
[4] Chonnam Natl Univ, Dept Ind Engn, Gwanju 500757, South Korea
基金
新加坡国家研究基金会;
关键词
Technology tree; Subject-Action-Object (SAO); Function; Patent mining; Patent analysis; Technology trends analysis; PATENT; SIMILARITY;
D O I
10.1016/j.eswa.2012.04.014
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A technology tree (TechTree) is a branching diagram that expresses relationships among product components, technologies, or functions of a technology in a specific technology area. A TechTree identifies strategic core technologies and is a useful tool to support decision making in a given market environment for organizations with specified capabilities. However, existing TechTrees generally overemphasize qualitative and expert-dependent knowledge rather than incorporating quantitative and objective information. In addition, the traditional process of developing a TechTree requires vast amounts of information, which costs considerably in terms of time, and cannot provide integrated information from a variety of technological perspectives simultaneously. To remedy these problems, this research presents a text mining approach based on Subject-Action-Object (SAO) structures: this approach develops a TechTree by extracting and analyzing SAO structures from patent documents. The extracted SAO structures are categorized by similarities, and are identified by the type of technological implications. To demonstrate the feasibility of the proposed approach, we developed a TechTree regarding Proton Exchange Fuel Cell technology. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:11443 / 11455
页数:13
相关论文
共 50 条
  • [21] Regional land planning based on BPNN and space mining technology
    Su, Lei
    Fu, Linhan
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (10): : 5241 - 5255
  • [22] Regional land planning based on BPNN and space mining technology
    Su, Lei
    Fu, Linhan
    Neural Computing and Applications, 2021, 33 (10) : 5241 - 5255
  • [23] Regional land planning based on BPNN and space mining technology
    Lei Su
    Linhan Fu
    Neural Computing and Applications, 2021, 33 : 5241 - 5255
  • [24] Technology roadmapping for the e-commerce sector: A text-mining approach
    Singh, Shiwangi
    Vijay, Tata Sai
    JOURNAL OF RETAILING AND CONSUMER SERVICES, 2024, 81
  • [25] Research on Students' Satisfaction of Intelligent Learning Based on Text Mining Technology
    Liu, Wei
    Zhang, Yanqiu
    Wang, Tongtong
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [26] Research on the Consumer Reviews of JD Bookstore Based on Text Mining Technology
    Xu, Aiting
    Ying, Pingting
    Wang, Fangyan
    ICBDC 2019: PROCEEDINGS OF 2019 4TH INTERNATIONAL CONFERENCE ON BIG DATA AND COMPUTING, 2019, : 209 - 214
  • [27] Xiaomi Brand Appraisal Research Based on Zhihu by Text Mining Technology
    Xu, Aiting
    Wang, Fangyan
    Ying, Pingting
    ICBDC 2019: PROCEEDINGS OF 2019 4TH INTERNATIONAL CONFERENCE ON BIG DATA AND COMPUTING, 2019, : 221 - 225
  • [28] Exploring Wetland Health Evaluation Indicators Based on Text Mining Technology
    Miao, Sheng
    Ni, Guoqing
    Chen, Lan
    Mu, Ruolan
    Qi, Yansu
    Liu, Chao
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2024, 20 (05): : 696 - 708
  • [29] Oil market risk factor identification based on text mining technology
    Zhao, Lu-Tao
    Guo, Shi-Qiu
    Wang, Yi
    INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 : 3589 - 3595
  • [30] A Variety of Text Mining Technology and Tools Research
    Jiang, Mingyang
    Fan, Xiaojing
    Zhang, Xinhong
    Jie, Lian
    Zhou, Yuxin
    Wang, QiangHu
    Zhang, ZhiFeng
    Pei, Zhili
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON MECHATRONICS, ELECTRONIC, INDUSTRIAL AND CONTROL ENGINEERING, 2014, 5 : 918 - +