DocumentCode
2125991
Title
Patent Service Self-Organizing Maps
Author
Segev, Aviv ; Kantola, Jussi
Author_Institution
Dept. of Knowledge Service Eng., KAIST, Daejeon, South Korea
fYear
2011
fDate
11-13 April 2011
Firstpage
839
Lastpage
844
Abstract
Patent users such as government, inventors, and manufacturing organizations strive to identify the directions in which the new technology is advancing. The organization of patent knowledge in maps aims at outlining the boundaries of existing knowledge. A model based on knowledge extraction from patents and self-organizing maps for knowledge representation is presented. The model was tested on patents from the United States Patent and Trademark Office. The experiments show promising results in classifying main directions of patent development.
Keywords
government; knowledge acquisition; patents; self-organising feature maps; trademarks; United States Patent and Trademark Office; government; inventors; knowledge extraction; manufacturing organizations; patent service self-organizing maps; Context; Feature extraction; Knowledge representation; Neurons; Patents; Self organizing feature maps; Semantics; Decision Support; Knowledge Engineering; Patent Service; Self-Organizing Maps;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: New Generations (ITNG), 2011 Eighth International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-61284-427-5
Electronic_ISBN
978-0-7695-4367-3
Type
conf
DOI
10.1109/ITNG.2011.146
Filename
5945345
Link To Document