loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Sandra Geisler 1 ; Rihan Hai 1 and Christoph Quix 2

Affiliations: 1 RWTH Aachen University, Germany ; 2 Fraunhofer-Institute for Applied Information Technology FIT, Germany

Keyword(s): Ontology Engineering, Patent Analysis, Ontology Matching.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Ontology Matching and Alignment ; Ontology Sharing and Reuse ; Symbolic Systems

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, o ntologies, 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. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.191.254.0

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (IC3K 2015) - KEOD; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 389-394. DOI: 10.5220/0005635503890394

@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 (IC3K 2015) - KEOD},
year={2015},
pages={389-394},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005635503890394},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KEOD
TI - An Ontology-based Collaboration Recommender System using Patents
SN - 978-989-758-158-8
IS - 2184-3228
AU - Geisler, S.
AU - Hai, R.
AU - Quix, C.
PY - 2015
SP - 389
EP - 394
DO - 10.5220/0005635503890394
PB - SciTePress