Visual patent trend analysis for informed decision making in technology management

- PatStream is a highly integrated interactive visual approach for decision support.
- It includes an effective visualization of patenting trends for obtaining an overview.
- It helps users to visually analyze technology trends and IPC distributions.
- It integrates further information and thus helps users make data-informed decisions.
- It uses advanced NLP techniques for content-oriented visualization.

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.