The Visualization Status And The Optimized Design Of Patent Keywords Automatic Indexing System

Big data era is coming, which make automatic indexing is more important. Keywords areconsisting of one or more words. It can display important concept in a document. Patent keywordsplay a very important role in patent literature, such as patent search, patent analysis, patentabstracts, automatic indexing, patent clustering, patent classification and so on. We could not seekeywords in most patents, and manual indexing is slow, inefficient, and its consistency is poor,where automatic indexing is comprehensive, accurate and efficient. The visualization of patentkeywords automatic indexing system can not only make it look more beautiful, the mostimportant thing is to improve the efficiency of indexing, So indexing results intuitively shownclearly.This paper researches about the application status and the optimized design of patentkeywords automatic indexing system by interview methods and observation methods. Thisresearch use the methods to comprehend the application status of patent keywords automaticindexing system and user needs, and optimized design for the different needs of users. Themain object is the existing automatic indexing system, and the interface and visualizationgraphics are main outcome.The interviewees are Patent keywords automatic indexing of thestaff, the applicant for a patent, patent analysis, patent related systems and technical personneland other academic researchers. Through interviews with them, the author explores userneeds.There are15experts who are good at patents work in interviews. They give their needsand suggestions about the optimized design of patent keywords automatic indexing system.On this basis, dozens of automatic indexing system to observe for the application status. Theoptimized design of patent keywords automatic indexing system of this paper are inconceptually layer and functional layer.