基于专利数据的技术热点发现系统设计与实现

发布时间：2018-03-04 04:01

本文选题：专利文献　切入点：技术热点发现　出处：《首都经济贸易大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着经济全球化程度的不断加深,科技创新也呈现了全球化的趋势。专利文献作为一种特殊的科技文献,除了具备其它科技文献的基本特征之外,还具有法律规范性、全面深度性、时间连续性和技术预测性等特征,是科技创新主体(企业、高校、研究机构等)首选的技术竞争情报源。研究人员通过把专利文献进行采集、清洗和结构化处理之后,对其数据进行深度挖掘与分析,不仅仅能够得到相关技术领域的发展现状,还能发现相关技术领域的研究热点和对其发展方向进行预测。目前国内外也出现了不少关于专利文献数据处理的软件或者系统,但是大多数是对专利数据的采集、管理和简单的统计分析,而对专利数据单一主题性分析方面缺乏较突出的软件系统。对于研究人员特别是非专业人士进行有目的的分析时存在着很多不便。本文实现的“基于专利数据的技术热点发现系统”主要是为研究人员提供通过专利数据进行技术热点发现的功能。之所以能够得出具有说服力的分析结果,是因为用户通过本系统可以轻松获得某一技术领域专利数据的主题词及相关研究趋势、关联词关系网络、技术热点热力地图、相关机构和相关学者、主题词中图分类趋势、主题词趋势预测曲线、热点主题词地理分布、主题词分类研究等维度的可视化展示,并可以生成和下载分析报告,从而有效得出技术热点并进行相关预测,即使是非专业人士也能很快掌握使用方法并得到想要的分析结果。在该系统的开发过程中,系统框架采用了易于扩展的B/S结构,开发模型采用的是快速原型模型,数据库管理系统选择的是体积小、成本低的MySQL关系数据库,可视化展示采用了效果炫丽、性能优良的百度ECharts平台和HighCharts组件。
[Abstract]:With the globalization of economy, science and technology innovation also showed the trend of globalization. The patent literature as a special literature of science and technology, in addition to the basic features with other literature of science and technology, but also has the legal norms, the full depth of continuity and prediction of characteristics of time, is the mainstay of technological innovation (enterprise. Universities, research institutions and other sources of Competitive Technical Intelligence) preferred. Researchers through the patent documents were collected after cleaning and structured processing, mining and analysis of the depth data, not only can get the current situation of the development of related technology, can find hot research related technical field and to predict its development direction. At present there are a lot of patent data processing software or system, but most of the patent data collection, management and simple Statistical analysis of patent data of single subject analysis lack of software system more prominent. For researchers especially non professionals for the purpose of analysis has a lot of inconvenience. The implementation of the "hot technology based on patent data discovery system is mainly to provide hot technology discovery function through patent data the researchers were able to obtain analytical results. Persuasive, because users of the system can easily obtain the trend of key words of a technical field of patent data and related research, word association network, technical hot thermal map, relevant institutions and relevant scholars, classification trend of theme words, topic words trend curve prediction the geographical distribution, subject focus, visual display theme words research dimension, and can generate and download from the analysis report, and effective The hot technology and related forecasts, even non professionals can quickly master the use of methods and results to. In the system development process, system framework using B/S structure can be easily extended, the development model is used in rapid prototyping model, select the database management system is small in size, MySQL the relationship between the database and the low cost, the visual display of dazzling effects, the excellent performance of the Baidu ECharts platform and HighCharts component.

【学位授予单位】：首都经济贸易大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52

【参考文献】