Identification of trends from patents using self-organizing maps

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Patent users such as governments, inventors, and manufacturing organizations strive to identify the directions in which new technology is advancing, and their goal is to outline the boundaries of existing knowledge. The paper analyzes patent knowledge to identify research trends. 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 that the method provides both an overview of the directions of the trends and a drill-down perspective of current trends. (C) 2012 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2012-12
Language
English
Article Type
Article
Keywords

ONTOLOGY; CLASSIFIER

Citation

EXPERT SYSTEMS WITH APPLICATIONS, v.39, no.18, pp.13235 - 13242

ISSN
0957-4174
DOI
10.1016/j.eswa.2012.05.078
URI
http://hdl.handle.net/10203/102680
Appears in Collection
IE-Journal Papers(저널논문)KSE-Journal Papers(저널논문)
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