| 利用Knowledge Graph的专利表示方法及其应用 |
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| 引用本文： | 陈亮,张海超,杨冠灿,雷孝平,于庆国.利用Knowledge Graph的专利表示方法及其应用[J].图书情报工作,2017,61(9):123-129. |
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| 作者姓名： | 陈亮 张海超 杨冠灿 雷孝平 于庆国 |
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| 作者单位： | 1. 中国科学技术信息研究所 北京 100038;
2. 吉林财经大学统计学院 长春 130117 |
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| 基金项目： | 本文系中国科学技术信息研究所预研项目“基于知识图谱的专利技术信息表示方法研究”（项目编号：YY-2016-03）和国家自然科学基金项目“基于指数随机图模型的专利引用关系形成影响因素及机理研究”（项目编号：71403256）研究成果之一。 |
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| 摘 要： | 目的/意义] 在专利分析中引入Knowledge Graph，将专利内容转换为由Knowledge Graph中实体语义关系所构成的图结构，进而探索该形式的专利表示方法在识别专利诉讼案中专利证据的可行性。方法/过程] 在专利内容转换过程中，首先采用自动术语识别方法提取其实体指称，并通过实体链接将实体指称转化为命名实体，进而根据图算法识别出该专利的隐含实体，最终形成该专利所对应的图结构。结果/结论] 将该专利表示方式应用于硬盘驱动器领域来寻找专利诉讼案中可用的证据专利，实证结果表明，与当前主流的专利文本表示方式相比，该方法在寻找证据专利效果上有较大提升。
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| 关 键 词： | 专利分析 Knowledge Graph 专利表示 图编辑距离 专利证据 |
| 收稿时间： | 2016-12-03 |
Utilization of Knowledge Graph for Patent Presentation and Its Application |
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| Chen Liang,Zhang Haichao,Yang Guancan,Lei Xiaoping,Yu Qingguo.Utilization of Knowledge Graph for Patent Presentation and Its Application[J].Library and Information Service,2017,61(9):123-129. |
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| Authors: | Chen Liang Zhang Haichao Yang Guancan Lei Xiaoping Yu Qingguo |
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| Institution: | 1. Institute of Scientific and Technical Information of China, Beijing 100038;
2. School of Statistics, Jilin University of Finance and Economics, Changchun 130117 |
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| Abstract: | Purpose/significance]This paper introduces knowledge graph to patent analysis, and it transforms patent content from unstructured text to graph structure with node as entity and edge as semantic relationship. Furthermore, the feasibility of patent evidence recognition is explored.Method/process]During transformation of patent content, we use ATE (Automatic Terminology Extraction) method to find entity mentions from patent text, and change them into entity via entity linking based on knowledge graph.Then we use the proposed graph algorithm to recognize hidden entities in patent, and finally output the patent's graph structure.Result/conclusion] We apply this presentation to hard disk drive to find potential patent evidence,and empirical result shows that the proposed presentation method of patent content can outperform current mainstream method to a large extent. |
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| Keywords: | patent analysis Knowledge Graph patent presentation graph edit distance patent evidence |
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