Patent visualisation is an application of information visualisation. The number of patents has been increasing,[1] encouraging companies to consider intellectual property as a part of their strategy.[2] Patent visualisation, like patent mapping, is used to quickly view a patent portfolio.
Software dedicated to patent visualisation began to appear in 2000, for example Aureka from Aurigin (now owned by Thomson Reuters).[3] Many patent and portfolio analytics platforms, such as Questel,[4] PatSnap, Patentcloud, Relecura, and Patent iNSIGHT Pro,[5] offer options to visualise specific data within patent documents by creating topic maps,[6] priority maps, IP Landscape reports,[7] etc. Software converts patents into infographics or maps, to allow the analyst to "get insight into the data" and draw conclusions.[8] Also called patinformatics,[9] it is the "science of analysing patent information to discover relationships and trends that would be difficult to see when working with patent documents on a one-and-one basis".[citation needed]
Patents contain structured data (like publication numbers) and unstructured text (like title, abstract, claims and visual info). Structured data are processed by data-mining and unstructured data are processed with text-mining.[10]
^[1][dead link]
^Kevin G. Rivette, David Kline, "Discovering new value in intellectual property", Harvard Business Review (January–February 2000)
^"Thomson Reuters | Aureka | Intellectual Property". Archived from the original on 4 February 2013.
^"Patent Analysis, Mapping, and Visualization Tools - PIUG Space - Global Site".
^"Patent iNSIGHT Pro". Archived from the original on 2014-02-21. Retrieved 2014-02-07.
^Conduct patent portfolio analysis using comparative Topic Maps
^Graphene Technology Insight Report
^Daniel A Keim et IEEE Computer Society, "Information visualization and visual data mining," IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 8 (2002): 1--8.
^Anthony J. Trippe, "Patinformatics: Tasks to tools," World Patent Information 25, n°. 3 (September 2003): 211-221.
^Laura Ruotsalainen, "Data mining tools for technology and competitive intelligence" VTT Research Notes 2451(October 2008)
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