专利文本技术挖掘研究进展综述

doi:10.11925/infotech.1003-3513.2014.06.07

现代图书情报技术

2014, Vol. 30

Issue (6): 62-70 https://doi.org/10.11925/infotech.1003-3513.2014.06.07

情报分析与研究

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专利文本技术挖掘研究进展综述

胡正银^1,2, 方曙¹

1. 中国科学院成都文献情报中心成都 610041;
2. 中国科学院大学北京 100049

Review on Text-based Patent Technology Mining

Hu Zhengyin^1,2, Fang Shu¹

1. Chengdu Library, Chinese Academy of Sciences, Chengdu 610041, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

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摘要

[目的]归纳基于文本专利技术挖掘通用流程，提炼其中关键技术，并对典型挖掘场景进行分析。[文献范围]以“专利挖掘、专利分析”等关键词在Elsevier、Springer、CNKI数据库进行检索，并参考全球技术挖掘相关会议，共阅读相关文献105篇，实际参考文献66篇。[方法]梳理其关键技术专利知识表示的研究现状与发展趋势，选取三类典型技术挖掘场景进行分析，通过归纳总结、提炼出专利技术挖掘未来发展趋势与研究热点。[结果]专利知识表示的粒度与结构决定了专利技术挖掘的深度、广度与维度。基于SAO基础语义单元，面向技术难题与解决方案的专利技术挖掘有望成为未来发展趋势与研究热点。[局限]本研究仅探讨现有文本挖掘、统计分析、自然语言处理技术在专利技术挖掘中的应用情况，对这些技术本身的发展趋势关注不足。[结论]本研究有助于全面了解专利技术挖掘的概貌、涉及的关键技术及主要应用场景。

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	方曙
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关键词 ：专利技术挖掘, 语义知识表示, 主题聚类, 专利分类, 技术演化

Abstract：

[Objective] This paper generalizes the framework of patent technology mining based on text, extracts the key techniques and analyzes some typical application scenarios. [Coverage]Chooses 105 papers from Elsevier, Springer, CNKI databases and Global TechMining Conference, and refers 66 papers at last. [Methods]Review semantic knowledge representation of patents, analyze the research progress of three typical technology mining scenarios and summarize the hot research topics of patent technology mining based on text. [Results] The result shows that the semantic knowledge representation of patents is very important to patent technology mining. And patent technology mining oriented to problems and solutions based on SAO units will be the hot research topics. [Limitations]Only focuse on the applications in patent technology mining of the techniques (e. g. Text Mining, Statistics and Natural Language Processing), but the development trendency of these techniques need to pay more attention. [Conclusions] This paper will facilitate to give an overview of patent technology mining, the key problems and the typical application scenarios.

Key words： Patent technology mining Semantic knowledge representation Topic clustering Patent classification Technology evolution

收稿日期: 2013-12-03 出版日期: 2014-07-09

G353.1

基金资助:

本文系中国科学院西部之光项目“基于本体的专利文献技术挖掘系统研究与实践”的研究成果之一。

通讯作者: 胡正银E-mail：huzy@clas.ac.cn E-mail: huzy@clas.ac.cn

作者简介: 作者贡献声明：胡正银：研究过程实施，进行具体文献调研、分析与论文撰写；方曙：研究命题的提出、设计，论文修订。

引用本文:

胡正银, 方曙. 专利文本技术挖掘研究进展综述[J]. 现代图书情报技术, 2014, 30(6): 62-70.
Hu Zhengyin, Fang Shu. Review on Text-based Patent Technology Mining. New Technology of Library and Information Service, 2014, 30(6): 62-70.

链接本文:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2014.06.07 或 https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2014/V30/I6/62

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