Technology and knowledge document cluster analysis for enterprise R&D strategic planning

被引：26
作者：
Hsu, Fu-Chiang [1 ]
Trappey, Amy J. C.
Trappey, Charles V.
Hou, Jiang-Liang
Liu, Shang-Jyh
机构：
[1] Natl Tsing Hua Univ, Dept Ind Engn & Engn Management, Hsinchu 300, Taiwan
[2] Natl Chiao Tung Univ, Dept Management Sci, Hsinchu 300, Taiwan
[3] Natl Chiao Tung Univ, Inst Technol Law, Hsinchu 300, Taiwan
来源：
INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT | 2006年 / 36卷 / 04期
关键词：
knowledge document clustering; patent analysis; technology clustering;
D O I：
10.1504/IJTM.2006.010271
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Through technology and knowledge document analysis, companies can realise the condition of specified technology development and the potential competitors in the market. As patents provide exclusive right and legal protection for patent inventors, patents play an important role in the development of technology. This paper presents the process of patent knowledge extraction and methodologies of patent analysis to improve the efficiency of patent analysis. Furthermore, the methodologies proposed in this paper include patent map analysis, patent technology clustering, patent document clustering and technology maturity measurement. Through these methodologies, companies can gain rich information and perforin better in patent management. Moreover, the strategic plans of R&D can also be determined using the methodologies proposed in this paper.
引用
收藏
页码：336 / 353
页数：18
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