124 0

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

Title
An SAO-based text mining approach to building a technology tree for technology planning
Author
박현석
Keywords
Technology tree; Subject–Action–Object (SAO); Function; Patent mining; Patent analysis; Technology trends analysis
Issue Date
2012-10
Publisher
Elsevier Science B.V., Amsterdam.
Citation
Expert Systems With Applications, 1 October 2012, 39(13), p.11443-11455
Abstract
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.
URI
https://www.sciencedirect.com/science/article/pii/S0957417412006112http://hdl.handle.net/20.500.11754/67271
ISSN
0957-4174
DOI
10.1016/j.eswa.2012.04.014
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE