Cart (Loading....) | Create Account
Close category search window
 

Using neural network categorization method to develop an innovative knowledge management technology for patent document classification

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Trappey, A.J.C. ; Dept. of Ind. Eng. & Eng. Manage., Nat. TsingHua Univ., Hsinchu, Taiwan ; Lin, S.C.I. ; Wang, A.C.L.

In order to process huge amount of explicit knowledge documents in an organized manner, automatic document categorization is an important research area in the R&D knowledge management domain. In this paper, we propose a new document classification methodology based on neural network technology. We first extract key phrases from the document set by means of text processing and determine the significance of key phrases by their appearance frequency. After significant phrases are extracted, a keyword correlation analysis model is applied to compute similarity between key phrases. Then, synonyms are extracted from highly similar terms. The backpropagation neural network model is adopted as a classifier. The target output is to identify a document's proper category based on the hierarchical document classification scheme, i.e., the international patent classification (IPC) standard. In this research, patents related to designs of innovative power hand-tools are studied in their IPC classification scheme. Any related patent can be automatically and accurately classified using the pretrained neural network models. In the prototype system, we provide two modules for explicit knowledge management. The automatic classification module helps the user classify patent documents and the search module helps users find the correct patent documents quickly. The result shows a very significant improvement in document classification and identification in explicit knowledge management.

Published in:

Computer Supported Cooperative Work in Design, 2005. Proceedings of the Ninth International Conference on  (Volume:2 )

Date of Conference:

24-26 May 2005

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.