Title :
Patent Service Self-Organizing Maps
Author :
Segev, Aviv ; Kantola, Jussi
Author_Institution :
Dept. of Knowledge Service Eng., KAIST, Daejeon, South Korea
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;
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
DOI :
10.1109/ITNG.2011.146