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Research field Big Data & Model Management
Funding Klaus Tschira Stiftung gemeinnützige GmbH
Start date 2015/02/01
End date 2017/12/31
Status completed

Systematisches Innovationsmanagement für die Medizintechnik: Kontexte und Data Mining entschlüsseln Patentdaten

Complex innovations in medical engineering are not possible without collaborative co-operations today. However, the assembly of suitable experts is usually left to the initiating innovators themselves or fortuity. To tackle this problem a new integrative competence model of medical engineering based on data mining algorithms has been conceptualized by the institute of Applied Medical Engineering (AME). It identifies suitable and proposes actors based on published texts for a given project by matching experts from medical, technological and product-related fields to the project. Logo mi-Mappa
Specifically, the product-related dimension of the approach faces the problem of the correct assignment of patents (and the corresponding inventors) to designated competence fields in medical engineering. In the mi-Mappa project we try to tackle this challenge by two different but complementary ways: on the one hand a relation between information from medical products and patents is searched for, because medical products are easily assignable to competence fields and hence, the related patents are assignable to competence fields. On the other hand, we try to find publications of the patent innovators related to the project topics which are more easily assignable to competence fields than the patents themselves.

The project is based on technologies and knowledge from the fields of ontology modelling and matching, data and text mining and data cleaning.

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AME - Institut für Angewandte Medizintechnik, RWTH Aachen University

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Project Publications

Kai Frerich, Mark Bukowski, Sandra Geisler, Robert Farkas

On the Potential of Taxonomic Graphs to Improve Applicability and Performance for the Classification of Biomedical Patents

Applied Sciences

Sandra Geisler, Christoph Quix, Rihan Hai, Sanchit Alekh

An Integrated Ontology-Based Approach for Patent Classification in Medical Engineering

International Conference on Data Integration in the Life Sciences

Christoph Quix, Sandra Geisler, Rihan Hai, Sanchit Alekh

Ontology Matching for Patent Classification

12th International Workshop on Ontology Matching (OM-2017), co-located with the 16th International Semantic Web Conference (ISWC-2017), Vienna, Austria, October 21, 2017.

More publications…