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New Technology of Library and Information Service  2014, Vol. 30 Issue (6): 62-70    DOI: 10.11925/infotech.1003-3513.2014.06.07
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Review on Text-based Patent Technology Mining
Hu Zhengyin1,2, 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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[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 wordsPatent technology mining      Semantic knowledge representation      Topic clustering      Patent classification      Technology evolution     
Received: 03 December 2013      Published: 09 July 2014
:  G353.1  

Cite this article:

Hu Zhengyin, Fang Shu. Review on Text-based Patent Technology Mining. New Technology of Library and Information Service, 2014, 30(6): 62-70.

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