Web Mining Based Patent Analysis and Citation Visualization

Zhiqiang Liu, Donghua Zhu
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引用次数: 4

Abstract

Patent data is one of the most valuable reservoir of technical and commercial knowledge. However, patent data of different countries and organizations has been stored separately, which added to the difficulty for patent analysis with these free patent data. By using Web Mining method, we can retrieve the related patent information of a certain field from several patent website as data source. From web pages to structural patent database, we can use these free patent sources to obtain professional patent analysis result and useful knowledge. A citation structure visualization method is introduced, which helps reveal the citation relationships among patents.
基于Web挖掘的专利分析与引文可视化
专利数据是最有价值的技术和商业知识宝库之一。然而,不同国家和组织的专利数据是分开存储的,这增加了利用这些免费专利数据进行专利分析的难度。利用Web挖掘方法,从多个专利网站中检索某一领域的相关专利信息作为数据源。从网页到结构化的专利数据库,我们可以利用这些免费的专利资源获得专业的专利分析结果和有用的知识。介绍了一种有助于揭示专利间引文关系的引文结构可视化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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