Title of article :
Extracting the significant-rare keywords for patent analysis
Author/Authors :
Li، نويسنده , , Yan-Ru and Wang، نويسنده , , Leuo-Hong and Hong، نويسنده , , Chao-Fu، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
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.
Keywords :
Chance Discovery , Patent analysis , Significant-rare , Text Mining
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications