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Identification of trends from patents using self-organizing maps
Tekijät: Segev A, Kantola J
Kustantaja: PERGAMON-ELSEVIER SCIENCE LTD
Julkaisuvuosi: 2012
Journal: Expert Systems with Applications
Tietokannassa oleva lehden nimi: EXPERT SYSTEMS WITH APPLICATIONS
Lehden akronyymi: EXPERT SYST APPL
Vuosikerta: 39
Numero: 18
Aloitussivu: 13235
Lopetussivu: 13242
Sivujen määrä: 8
ISSN: 0957-4174
DOI: https://doi.org/10.1016/j.eswa.2012.05.078
Tiivistelmä
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.
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.
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