불완전 인용정보 하에서의 특허의 기술적 중요도 평가 모형

A Model for Evaluating Technology Importance of Patents under Incomplete Citation

초록

Although domestic research funding organizations require patented technologies as an outcome of financial aids, they have much difficulty in evaluating qualitative value of the patented technology due to lack of systematic methods. Especially, because citation data is not essential to patent application in Korea, it is very difficult to evaluate a patent using the incomplete citation data. This study proposes a method for evaluating technology importance of a patent when there is no or insufficient citation data in patents. The technology importance of a patent can be evaluated objectively and quantitatively by the proposed method which consists of 5 steps such as selection of a target patent, collection of related patents, preparation of key word vector, clustering patents, and technological importance assessment. The method was applied to a patent on ‘user identification method for payment using mobile terminal’ in order to evaluate technology importance and demonstrate how the method works.

키워드

PatentsText MiningKey Word VectorClusteringTechnology ImportancePatentsText MiningKey Word VectorClusteringTechnology Importance
제목
불완전 인용정보 하에서의 특허의 기술적 중요도 평가 모형
제목 (타언어)
A Model for Evaluating Technology Importance of Patents under Incomplete Citation
저자
김헌백동현신민주
발행일
2008-06
저널명
지능정보연구
14
2
페이지
121 ~ 136