论文标题

知识产权资源概况和进化法的研究

Research on Intellectual Property Resource Profile and Evolution Law

论文作者

Wang, Yuhui, Shao, Yingxia, Li, Ang

论文摘要

在大数据的时代,面向知识产权的科学和技术资源显示了大数据量表,高信息密度和低价值密度的趋势,这给有效利用知识产权资源带来了严重的挑战,并且对知识产权采矿中隐藏信息的需求正在增加。这使得面向知识产权的科学和技术资源肖像和进化分析成为当前的研究热点。本文从算法分类和一般过程的各个方面以及改进未来方法的方向的方面列出了知识产权资源智力肖像及其前工作实体的提取和实体完成的构建方法。

In the era of big data, intellectual property-oriented scientific and technological resources show the trend of large data scale, high information density and low value density, which brings severe challenges to the effective use of intellectual property resources, and the demand for mining hidden information in intellectual property is increasing. This makes intellectual property-oriented science and technology resource portraits and analysis of evolution become the current research hotspot. This paper sorts out the construction method of intellectual property resource intellectual portrait and its pre-work property entity extraction and entity completion from the aspects of algorithm classification and general process, and directions for improvement of future methods.

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