2017 •
Visual patent trend analysis for informed decision making in technology management
Authors:
Qi Han, Florian Heimerl, Joan Codina-Filbà, Steffen Lohmann, Leo Wanner, Thomas Ertl
Abstract:
Patent information is increasingly important for decision makers. Their demand for exploratory trend and competitor analysis poses new challenges with respect to the processing and visualization of patent data. We present PatStream: a highly interactive approach for decision support through patent exploration, which offers a streamgraph-based visualization for trends at different levels of abstraction and facilitates the combined analysis of their various aspects, including patent applicants, IPC distributions and innovativeness. PatStream inte (...)
Patent information is increasingly important for decision makers. Their demand for exploratory trend and competitor analysis poses new challenges with respect to the processing and visualization of patent data. We present PatStream: a highly interactive approach for decision support through patent exploration, which offers a streamgraph-based visualization for trends at different levels of abstraction and facilitates the combined analysis of their various aspects, including patent applicants, IPC distributions and innovativeness. PatStream integrates powerful natural language processing techniques for concept extraction and patent similarity assessment to allow for content-oriented visualization and analysis. This work has been partially supported by the European Commission under the grant number FP7-SME-606163 (iPatDoc), and the German Research Foundation (DFG) as part of the priority program 1335 Scalable Visual Analytics. (Read More)
Qi Han, Florian Heimerl, Joan Codina-Filba, Steffen Lohmann, Leo Wanner, Thomas Ertl
World Patent Information ·
2017
Knowledge management |
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