专利可视化
计算机科学
数据科学
专利分析
专利申请
知识产权
万维网
知识管理
政治学
操作系统
法学
作者
Longhui Zhang,Lei Li,Tao Li
出处
期刊:SIGKDD explorations
[Association for Computing Machinery]
日期:2015-05-21
卷期号:16 (2): 1-19
被引量:78
标识
DOI:10.1145/2783702.2783704
摘要
Patent documents are important intellectual resources of protecting interests of individuals, organizations and companies. Different from general web documents, patent documents have a well-defined format including frontpage, description, nclaims, and figures. However, they are lengthy and rich in technical terms, which requires enormous human efforts for analysis. Hence, a new research area, called patent mining, emerges in recent years, aiming to assist patent analysts in investigating, processing, and analyzing patent documents. Despite the recent advances in patent mining, it is still far from being well explored in research communities. To help patent analysts and interested readers obtain a big picture of patent mining, we thus provide a systematic summary of existing research efforts along this direction. In this survey, we first present an overview of the technical trend in patent mining. We then investigate multiple research questions related to patent documents, including patent retrieval, patent classification, and patent visualization, and provide summaries and highlights for each question by delving into the corresponding research efforts.
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