Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

Intelligent Retrieval System for Patent Analysis - the Combined use of Bibliographic Coupling and Text Mining

Authors
Su-Houn Liu1, Hsiu-Li Liao, Jing-Wen Hu
1Chung Yuan Christian University
Corresponding Author
Su-Houn Liu
Available Online December 2008.
DOI
10.2991/jcis.2008.124How to use a DOI?
Keywords
patent search, text mining, bibliographic coupling
Abstract

When technology developments accelerate in recent year, automatic tools for assisting patent engineers or decision makers in patent analysis are in great demand. By composing both bibliographic coupling and text mining approaches, this study proposes an intelligent patent retrieval system that considers a hybrid structure for higher search accuracy. An experimental prototype called HPRS (Hybrid Patent Retrieval System) was developed. Testing indicates that the HPRS has significantly increased the accuracy of patent retrieval compared to traditional patent search methods. We believed that our works have provided a feasible architecture for an intelligent patent retrieval system.

Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
10.2991/jcis.2008.124How to use a DOI?
Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Su-Houn Liu
AU  - Hsiu-Li Liao
AU  - Jing-Wen Hu
PY  - 2008/12
DA  - 2008/12
TI  - Intelligent Retrieval System for Patent Analysis - the Combined use of Bibliographic Coupling and Text Mining
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 745
EP  - 750
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.124
DO  - 10.2991/jcis.2008.124
ID  - Liu2008/12
ER  -