Derivation of Optimized Threshold of Semantic Alignment Metrics for Interpretation of Interoperability and Reusability of Crossenterprise Vehicle Service Interface Models

• Published in: Informatica (Ljubljana) Vol. 47; no. 7; pp. 11 - 21
• Main Authors: De, Sangita, Brada, Přemek, Mottok, Juergen
• Format: Journal Article
• Language: English
• Published: Ljubljana Slovenian Society Informatika / Slovensko drustvo Informatika 01.06.2023
• Subjects: Alignment; Annotations; Case studies; Cyber-physical systems; Datasets; Decision making; Derivation; Design optimization; Interfaces; Interoperability; Metamodels; Ontology; Semantics; Similarity; Software; Subject specialists; Web Ontology Language-OWL
• ISSN: 0350-5596; 1854-3871
• DOI: 10.31449/inf.v47i7.4739

Over the past decade, cars have turned gradually into real cyber-physical systems. The collaboration of services between the service-oriented, cross-enterprise vehicle application frameworks has increased to generate novel, smart and complicated vehicle services. Consequently, from an interoperability perspective, semantically mapping of vehicle service components' interface ontological models emerged as a significant research interest in the automotive application domain that manipulates several crossenterprise synergy knowledge application frameworks. Also, several semantic quality metrics have been defined over time for the vehicle service interface ontological models. The empirically evaluated values of these metrics can be used to assess progress in cross-enterprise interoperability between the service and the clients' APIs ontological models in the vehicle domain. However, despite the potential benefits of semantic alignment quality metrics, the effective use of these metrics for vehicle service interface ontologies has proven elusive. Yes, such metrics can be used successfully for quantification, but they mostly fail to provide adequate annotations in subsequent decision-making in semantic interoperability and reusability. In fact, the absence of an effective and meaningful threshold for the semantic similarity measure between various vehicle service interface ontological models motivates this research to propose a novel design approach to an optimized threshold derivation for the semantic similarity metrics. This threshold is then applied to a set of defined semantic alignment metrics for vehicle service frameworks. This paper uses a real-world vehicle domain industrial case study to illustrate the design approach. Through the considered case study, this research highlights the significance of optimized semantic alignment metric thresholds in determining the degree of cross-enterprise semantic interoperability and reusability between heterogeneous vehicle service frameworks' interface ontological metamodels.