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Evaluation of Semantic Interoperability of Automotive Service API Models Based on Metamodels Similarity Metrics Using a Semi-automated Approach

  • In recent years, mapping of application software components’ ontologies semantically emerged as a big research challenge in automotive application domain that manipulates several cross-enterprise synergy knowledge application frameworks. The same knowledge formalized by different experts in different vehicle application frameworks leads to heterogeneous representations of components’ interface data. Consequently, this causes the most daunting impediment in semantic interoperability between the service components in cooperative automotive systems. From a modeling perspective, in the absence of standardized domain-based unified modeling techniques, the orchestration and resolution of semantic data interoperability between various vehicle application frameworks’ components’ interface models remain a challenge. However, this challenge could be addressed using ontological metamodeling by specifying semantic associations between components’ interface model concepts based on the domain knowledge. Apart from the semantic mapping of interface ontological metamodels, this work also defines quality metrics to determine the degree of semantic alignment achieved between the various interface ontologies. Additionally, to reduce development time and cost towards semantic interoperability, this work proposes a semi-automated plugin tool for the applicability of the evaluated quality metrics to semantic mapping of real-world components’ interface models.

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Metadaten
Author:Sangita DeORCiD, Jürgen MottokORCiDGND, Premek Brada
DOI:https://doi.org/10.1007/978-3-031-25161-0_2
Parent Title (English):iCETiC 2022 : 5th International Conference on Emerging Technologies in Computing 2022: Aug 15, 2022 - Aug 16, 2022, Chester, UK
Publisher:Springer
Place of publication:Cham
Editor:M.H. Miraz, G. Southall, M. Ali, A. Ware
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2023
Release Date:2022/11/18
Tag:Framework; Interface; Metamodel; Metrics; Ontology; Semantic
First Page:14
Last Page:28
Andere Schriftenreihe:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; vol 463
Institutes:Fakultät Elektro- und Informationstechnik
Fakultät Elektro- und Informationstechnik / Laboratory for Safe and Secure Systems (LAS3)
Begutachtungsstatus:begutachtet
research focus:Information und Kommunikation
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG