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Analysis and visualisation of a “galaxy” of patent data can present challenges in being able to spot the “stars”. Being able to drawn meaningful conclusions from any patent landscape relies on the quality and comprehensiveness of the data input, as well as having features and functionality to visualize the landscape accurately and being able to focus on an area of interest.
Delivered from the perspective of an experienced patent analyst, we will use case studies to discuss the challenges in creating a meaningful patent landscape and the recent innovative features and functionality in PatBase which can help, including:
Using Analytics for customised, multidimensional analysis and to visually compare multiple datasets.
Text-mining to automatically identify and highlight chemical, physical, genetic and medical concepts within any full text patent.
Being able to efficiently identify the exact location of a chemical entity anywhere in the full text.
The ability to easily review and filter patent citations based on their relevance, origin and assignee.
This presentation will demonstrate how any user can benefit from the innovative features and functionality in PatBase to interrogate and visualize the patent landscape for any technical area.