Extracting the significant-rare keywords for patent analysis

Authors:
Yan-Ru Li;Leuo-Hong Wang;Chao-Fu Hong
Affiliations:
Department of Information Management, Aletheia University, 32 Chen-Li Street, Tamsui, Taipei, Taiwan, ROC;Department of Information Management, Aletheia University, 32 Chen-Li Street, Tamsui, Taipei, Taiwan, ROC;Department of Information Management, Aletheia University, 32 Chen-Li Street, Tamsui, Taipei, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

Brainstorming for keywords is used in retrieving patent documents, but even experienced engineers are irresolute in dealing with this critical issue. The quality of a patent report is usually already determined by the keywords they used in the first step. In order to improve the stumbling stone, this paper demonstrates a new method of how to find the significant-rare in a patent database. The results show that a systematic patent search (snowball-rolling-procedure) could consider the heterogeneous terms used by assignees, attorneys, and inventors that include some hidden information. Overall, the reliability of patent data can be ameliorated further.