面向主题的专利分析系统

Subject-orientedanalysis of Patent System

设计并实现了面向主题的专利分析系统。主要包括根据专利分析需求抽取专利数据放入本地专利数据源,对专利数据源进行清洗、转换生成纯净的专利基础数据库,根据不同分析主题模型从基础数据仓库中抽取、转换生成数据集市,并在数据集市的基础上建立多维立方体和KPI指标,生成专利地图完成从不同主题对专利数据进行自动分析的功能。

This paper explains the way in which we design and implement the subject-oriented patent analysis system. As needed by the patent data analysis, the patent data are extracted and storaged into local patent database. Then the database is cleaned and transformed into underlying patent database. On the basis of different analysis subject models, a data mart is established with the palent data extracted from the underlying database. Finally, a multi-dimensional cube and Key Performance Indicators are built within the data mart. With the sys- tem, users can draw the patent map with which patent data are analyzed automatically from different subjects.