II-SDV 2014 Patent Intelligence with Bibliographic, Legal Status and Patent Register Data: How patent statistical analyses can help to improve services (Christian Soltmann, European Patent Office – Austria)
This document discusses how patent data from the EPO PATSTAT database can be analyzed using tools like Excel and KNIME to provide insights. It provides an example of analyzing patent activity in different industry sectors by linking PATSTAT data to classifications. It also describes a joint EPO-OHIM study that linked patent, trademark, and design data using sophisticated matching techniques to analyze IP-intensive industries in Europe and findings that half of EU industries are IP-intensive.
AI-SDV 2021: Stefan Geissler - AI support for creating and maintaining vocabu...
Similar to II-SDV 2014 Patent Intelligence with Bibliographic, Legal Status and Patent Register Data: How patent statistical analyses can help to improve services (Christian Soltmann, European Patent Office – Austria)
Similar to II-SDV 2014 Patent Intelligence with Bibliographic, Legal Status and Patent Register Data: How patent statistical analyses can help to improve services (Christian Soltmann, European Patent Office – Austria) (20)
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
II-SDV 2014 Patent Intelligence with Bibliographic, Legal Status and Patent Register Data: How patent statistical analyses can help to improve services (Christian Soltmann, European Patent Office – Austria)
1. Patent Intelligence with Bibliographic,
Legal Status and Patent Register Data:
How patent statistical analyses can help to
improve services
Geert Boedt
Christian Soltmann 15 April 2014