DocumentCode :
1655134
Title :
Technology and Effect Matrix for Patent Clustering
Author :
Chen Xu ; Peng Zhiyong ; Liu Bin
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
fYear :
2013
Firstpage :
128
Lastpage :
132
Abstract :
Patents contain important technical, legal and economic information. Their annual publication accounts for a quarter of the books and journals in the world. Along with the growing number of patents, patent clustering analysis is becoming more and more important. We focus on two key issues in patent clustering, namely patent representation and data visualization. Firstly, patents are represented as technology and effect pairs, and then patents are clustered based on technology and effect matrix, finally a multi-layer patent map is generated. The experiments results show that our method has higher efficiency and better clustering effect than traditional vector space model and the visualization of clustering result is more practical and scalable.
Keywords :
data visualisation; information retrieval; patents; pattern clustering; data visualization; economic information; information extraction; legal information; multilayer patent map; patent clustering analysis; patent representation; technical information; technology and effect matrix; technology and effect pairs; Abstracts; Clustering algorithms; Conferences; Hamming distance; Patents; Semantics; Vectors; information extraction; information visualization; patent clustering; sematic annotation; text representation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Information System and Application Conference (WISA), 2013 10th
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4799-3218-4
Type :
conf
DOI :
10.1109/WISA.2013.33
Filename :
6778624
Link To Document :
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