Development of a Patent Retrieval and Analysis Platform - A hybrid approach

Authors:
Su-Houn Liu;Hsiu-Li Liao;Shih-Ming Pi;Jing-Wen Hu
Affiliations:
Department of Information Management, Chung Yuan Christian University, 200, Chung Pei Rd., Chung Li, Taiwan 32023, Taiwan;Department of Information Management, Chung Yuan Christian University, 200, Chung Pei Rd., Chung Li, Taiwan 32023, Taiwan;Department of Information Management, Chung Yuan Christian University, 200, Chung Pei Rd., Chung Li, Taiwan 32023, Taiwan;Department of Information Management, Chung Yuan Christian University, 200, Chung Pei Rd., Chung Li, Taiwan 32023, Taiwan
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

In order to process large numbers of explicit knowledge documents such as patents in an organized manner, automatic document categorization and search are required. In this paper, we develop an intelligent retrieval system for patent analysis that helps companies manage patent documents more effectively. By composing both bibliographic coupling and text mining approaches, this paper proposes a hybrid structure for higher search accuracy. An experimental prototype called PRAP (Patent Retrieval and Analysis Platform) was developed. Testing indicates that the PRAP 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.