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

Content Provider	IEEE Xplore Digital Library
Author	Trappey, A.J.C. Lin, S.C.I. Wang, A.C.L.
Copyright Year	2005
Description	Author affiliation: Dept. of Ind. Eng. & Eng. Manage., Nat. TsingHua Univ., Hsinchu, Taiwan (Trappey, A.J.C.; Lin, S.C.I.; Wang, A.C.L.)
Abstract	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.
Sponsorship	Coventry Univ. IEEE IEE British Comput. Soc
Starting Page	830
Ending Page	835
File Size	971729
Page Count	6
File Format	PDF
ISBN	1846000025
DOI	10.1109/CSCWD.2005.194293
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-24
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Coventry University
Subject Keyword	Neural networks Knowledge management Prototypes Frequency Computer networks Knowledge engineering Research and development management Research and development Text processing Intellectual property
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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