Title of article :
Enhancing patent landscape analysis with visualization output Original Research Article
Author/Authors :
Yun Yun Yang، نويسنده , , Lucy Akers، نويسنده , , Cynthia Barcelon-Yang، نويسنده , , Thomas Klose، نويسنده , , Shelley Pavlek، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
18
From page :
203
To page :
220
Abstract :
A patent landscape analysis can be defined as a state-of-the-art patent search that provides graphic representations of information from search results. The focus is patents and patent applications from a given technology area or company patent portfolio. Unlike a traditional state-of-the-art search which provides relevant information in text format, patent landscape analysis provides graphics and charts to demonstrate patenting trends, leading patent assignees, collaboration partners, white space analysis, technology evaluations, etc. In this article, we will illustrate two case studies from a more in-depth evaluation of some text mining tools. Output from these tools may be integrated into patent analysis workflow to yield critical visual views of the data and actionable business intelligence.
Keywords :
Patent information , Intellectual property analysis , text mining , Business intelligence , Patent landscape analysis , Data visualization tools
Journal title :
World Patent Information
Serial Year :
2010
Journal title :
World Patent Information
Record number :
1230527
Link To Document :
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