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专利文献计算机检索技术的最新发展
引用本文:周胜生,王扬平.专利文献计算机检索技术的最新发展[J].图书情报工作,2010,54(18):81-84.
作者姓名:周胜生  王扬平
作者单位:国家知识产权局专利审查协作中心
摘    要:通过对近年来计算机科学、人工智能、专利文献加工等领域的发展进行总结,从多语言混合检索、分类检索、语义检索、图像检索以及辅助技术五个方面介绍专利文献计算机检索技术的最新发展。机器翻译技术和多边共同分类体系的完善有助于提高计算机检索效率、消除语言障碍,而语义检索、图像检索和文献自动处理技术的发展有望使面向不同层次用户的计算机智能化检索系统得以实现。

关 键 词:专利文献  计算机检索  语义检索  图像检索  
收稿时间:2010-03-09
修稿时间:2010-06-01

Recent Technologies of the Computer Retrieval for Patent Documents
Zhou Shengsheng,Wang Yangping.Recent Technologies of the Computer Retrieval for Patent Documents[J].Library and Information Service,2010,54(18):81-84.
Authors:Zhou Shengsheng  Wang Yangping
Institution:Patent Examination Cooperation Center, State Intellectual Property Office of the PRC,
Abstract:Based on the investigation on recent developments in computer science, artificial intelligence and patent document processing, the paper introduces the latest technologies of computer retrieval for patent documents in five aspects, i.e. cross-language retrieval, classification retrieval, semantic retrieval, image retrieval, and relevant technologies. The improvements of machine translation technology and common classification system will help to improve the efficiency of computer retrieval and eliminate the language barrier. Because of the developments of semantic retrieval, image retrieval and document automatic processing, intelligent patent document retrieval system for wide spectrum of users is expected to be achieved in the near future.
Keywords:patent document  computer retrieval  semantic retrieval  image retrieval  
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