With the explosion of patent amount and stagger overlapping of new technique field, there is urgent need to deepen to content level in patent information analysis. Content mining is important approach and necessary means. Using the thought and technology of text-content mining, the content mining-based patent information analysis method system, and expounds the major steps and the various techniques and algorithms of the patent text information pretreatment, patent information content analysis and patent information knowledge treatment. Finally, the paper selects patent data in the area of Hybrid Electric Vehicle (HEV) to do empirical research.
王曰芬,徐丹丹,李飞. 专利信息内容挖掘及其试验研究*[J]. 现代图书情报技术, 2008, 24(12): 59-65.
Wang Yuefen,Xu Dandan,Li Fei. Experimental Study of Patent Information Content Mining. New Technology of Library and Information Service, 2008, 24(12): 59-65.
［1］ AUREKA［EB/OL］.［2008-08-08］.http://scientific.thomsonreuters.com/media/gmscorppdfs/aureka.pdf.
［2］ Kim Y G,Suh J H, Park S C. Visualization of Patent Analysis for Emerging Technology［J］. Expert Systems with Applications, 2008, 34: 1804-1812.
［3］ Miyake M, Mune Y, Himeno K. Strategic Intellectual Property Portfolio Management: Technology Appraisal By Using The “Technology Heat Map”［R］. Nomura Research Institute Papers. No.83.2004.
［4］ 刘玉琴,朱东华,吕琳.基于文本挖掘技术的产品技术成熟度预测［J］.计算机集成制造系统,2008,14(3):506-510,542.
［5］ 王卫平,郭长旺.文本挖掘在科技情报中的应用［J］.中国科技产业,2004(12):35-37.
［6］ 岑咏华. 一种基于多重哈希词典和K-最短路径算法的中文粗分词方案研究［J］.情报理论与实践（已录用）.
［7］ 岑咏华，韩哲，季培培.基于隐马尔科夫模型的中文术语识别研究［J］.现代图书情报技术，2008(12)：54-58.
［8］ 刘涛.用于文本分类和文本聚类的特征选择和特征抽取方法的研究［D］.天津：南开大学博士学位论文,2004.
［9］ 岑咏华，王晓蓉，吉雍慧. 一种基于改进K-means的文档聚类算法的实现研究［J］. 现代图书情报技术，2008(12):73-79.
［10］ 张嘉君,吴志新,乔维高.混合动力汽车整车控制策略研究［J］.客车技术与研究,2007(4):8-11.
［11］ 戴涛. 聚类分析算法研究［D］. 北京：清华大学学位硕士论文, 2004.
