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An integrated ontology-based approach for patent classification in medical engineering

: Geisler, Sandra; Quix, Christoph; Hai, Rihan; Alekh, Sanchit


Silveira, M. da:
Data Integration in the Life Sciences. 12th International Conference, DILS 2017 : Luxembourg, November 14-15, 2017, Proceedings
Cham: Springer International Publishing, 2017 (Lecture Notes in Computer Science 10649)
ISBN: 978-3-319-69750-5 (Print)
ISBN: 978-3-319-69751-2 (Online)
ISBN: 3-319-69750-1
International Conference on Data Integration in the Life Sciences (DILS) <12, 2017, Luxembourg>
Fraunhofer FIT ()

Medical engineering (ME) is an interdisciplinary domain with short innovation cycles. Usually, researchers from several fields cooperate in ME research projects. To support the identification of suitable partners for a project, we present an integrated approach for patent classification combining ideas from topic modeling, ontology modeling & matching, bibliometric analysis, and data integration. First evaluation results show that the use of semantic technologies in patent classification can indeed increase the quality of the results.