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Visual patent trend analysis for informed decision making in technology management

: Han, Q.; Heimerl, F.; Codina-Filba, J.; Lohmann, S.; Wanner, L.; Ertl, T.


World Patent Information 49 (2017), pp.34-42
ISSN: 0172-2190
Journal Article
Fraunhofer IAIS ()
Patent analysis; Trend analysis; Visualization; Visual analysis; Patent information; Natural language processing

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.