An Ontology-based Collaboration Recommender System using Patents

Sandra Geisler, Rihan Hai, Christoph Quix

2015

Abstract

Successful research and development projects start with finding the right partners for the venture. Especially for interdisciplinary projects, this is a difficult task as experts from foreign domains are not known. Furthermore, the transfer of knowledge from research into practice is becoming more important in research projects to enable the quick application of research results. This is in particular relevant for projects in medical engineering. Patents and publications contain technical knowledge which can be exploited to find suitable experts. Patents are usually more product-oriented as the inventors have to describe an application area and products might be protected by patents. On the other hand, scientific publications represent the state-of-the-art in research. The challenge is finding the right mixture of research- or application-oriented experts from different domains. Hence, we propose a recommender system for experts for a certain topic based on patent topic clustering, ontologies, and ontology matching, which maps patents to corresponding innovation fields. The medical engineering domain serves as a first test bed, since projects in this area are highly interdisciplinary.

Paper Citation

in Harvard Style

Geisler S., Hai R. and Quix C. (2015). An Ontology-based Collaboration Recommender System using Patents . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 389-394. DOI: 10.5220/0005635503890394

in Bibtex Style

@conference{keod15,
author={Sandra Geisler and Rihan Hai and Christoph Quix},
title={An Ontology-based Collaboration Recommender System using Patents},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015)},
year={2015},
pages={389-394},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005635503890394},
isbn={978-989-758-158-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015)
TI - An Ontology-based Collaboration Recommender System using Patents
SN - 978-989-758-158-8
AU - Geisler S.
AU - Hai R.
AU - Quix C.
PY - 2015
SP - 389
EP - 394
DO - 10.5220/0005635503890394