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.
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