loading
Documents

Research.Publish.Connect.

Paper

Authors: Audun Vennesland 1 ; Joe Gorman 2 ; Scott Wilson 3 ; Bernd Neumayr 4 and Christoph G. Schuetz 4

Affiliations: 1 Department of Software Engineering, Safety and Security, SINTEF, Trondheim, Norway, Norwegian University of Science and Technology, Trondheim and Norway ; 2 Department of Software Engineering, Safety and Security, SINTEF, Trondheim and Norway ; 3 EUROCONTROL, Brussels and Belgium ; 4 Johannes Kepler University Linz, Linz and Austria

ISBN: 978-989-758-330-8

Keyword(s): Compliance Verification, Air Traffic Management, Ontology Matching, Ontology Engineering.

Abstract: Compliance with standard information models in diverse and complex domains such as Air Traffic Management is an important but highly challenging task. The challenges stem from the fact that the information models are often extensive, the diversity of the domain leads to diverging terminology, and the manual mapping of information elements necessary to assess compliance is very labor-intensive. This work proposes ways in which compliance verification techniques, currently based on manual techniques, can be supported and partly automated by means of a set of basic ontology matching techniques. We have evaluated these techniques in an experiment involving seven datasets consisting of various ATM ontologies that have been transformed to OWL from their original UML representations. A comparative analysis with two other state-of-the-art matching systems shows that some of our proposed matching techniques obtain good quality alignments, especially when they are combined using simple strategi es. The evaluation also reveals that identifying equivalence relations is a far easier task than identifying other types of semantic relations. (More)

PDF ImageFull Text

Download
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 54.224.247.42

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:
Vennesland A., Gorman J., Wilson S., Neumayr B. and Schuetz C. (2018). Automated Compliance Verification in ATM using Principles from Ontology Matching.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-330-8, pages 41-52. DOI: 10.5220/0006924000410052

@conference{keod18,
author={Audun Vennesland and Joe Gorman and Scott Wilson and Bernd Neumayr and Christoph G. Schuetz},
title={Automated Compliance Verification in ATM using Principles from Ontology Matching},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2018},
pages={41-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006924000410052},
isbn={978-989-758-330-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Automated Compliance Verification in ATM using Principles from Ontology Matching
SN - 978-989-758-330-8
AU - Vennesland A.
AU - Gorman J.
AU - Wilson S.
AU - Neumayr B.
AU - Schuetz C.
PY - 2018
SP - 41
EP - 52
DO - 10.5220/0006924000410052

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.