Visual patent trend analysis for informed decision making in technology management

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• dc.contributor.author Han, Qi
• dc.contributor.author Heimerl, Florian
• dc.contributor.author Codina Filbà, Joan
• dc.contributor.author Lohmann, Steffen
• dc.contributor.author Wanner, Leo
• dc.contributor.author Ertl, Thomas
• dc.date.accessioned 2021-06-21T08:36:22Z
• dc.date.available 2021-06-21T08:36:22Z
• dc.date.issued 2017
• dc.description.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 integrates powerful natural language processing techniques for concept extraction and patent similarity assessment to allow for content-oriented visualization and analysis.
• dc.description.sponsorship 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.
• dc.format.mimetype application/pdf
• dc.identifier.citation Han Q, Heimerl F, Codina Filbà J, Lohmann S, Wanner L, Ertl T. Visual patent trend analysis for informed decision making in technology management. World Patent Information. 2017;49:34-42. DOI: 10.1016/j.wpi.2017.04.003
• dc.identifier.doi http://dx.doi.org/10.1016/j.wpi.2017.04.003
• dc.identifier.issn 0172-2190
• dc.identifier.uri http://hdl.handle.net/10230/47950
• dc.language.iso eng
• dc.publisher Elsevier
• dc.relation.ispartof World Patent Information. 2017;49:34-42
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/606163
• dc.rights © Elsevier http://dx.doi.org/10.1016/j.wpi.2017.04.003
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Patent analysis
• dc.subject.keyword Trend analysis
• dc.subject.keyword Visualization
• dc.subject.keyword Visual analysis
• dc.subject.keyword Patent information
• dc.subject.keyword Natural language processing
• dc.title Visual patent trend analysis for informed decision making in technology management
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion