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
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