Abstract
As cars become smart and connected, automotive development gets more complex. Traditional disciplines such as mechanical, electrical and software engineering can no longer remain separate, but are required to collaborate. Further, new regulations and standards require engineering activities across domains to be traceable and their outputs to be consistent. Current IT-architectures do not sufficiently support those new needs. Automotive engineering domains mainly rely on separate expert tools. Interfaces are, if at all existent, inefficient and come along with a loss of data and information. Sophisticated integration of IT-systems is the basis for solving the drawn problems, as it enables efficient and effective collaboration amongst domains. Hence, it also forms the basis for trending approaches in automotive engineering such as model-based systems engineering and function-orientation. Thus, a state-of-the-art integration architecture for the automotive engineering IT is presented in this paper. For instance, it suggests replacing former implicit relations between assets of separate systems by explicit ones through applying an ontology-driven Linked Data approach. This improves traceability and enables referencing, addressing and reusing IT-assets across expert tools. Therefore, it is further proposed to exchange data efficiently among systems in an innovative API-driven manner. The holistic integration architecture enables effective and consistent collaboration and ensures traceable work results across domains. The result is a future-proof architecture that serves as a blueprint for automotive companies to face the challenges of developing innovative cars as of today and tomorrow.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Porter, M.E., Heppelmann, J.E.: How smart, connected products are transforming companies. Harv. Bus. Rev. 93(10), 96–114 (2015)
Mohelska, H., Sokolova, M.: Smart, connected products change a company’s business strategy orientation. Appl. Econ. 48(47), 4502–4509 (2016)
Ehlers, C.: Mobility of the future–connected, autonomous, shared, electric. In: 30th International AVL Conference - Engine & Environment, pp. 175–178, Graz (2018).
Daimler Homepage. https://www.daimler.com/innovation/case.html. Accessed 24 Jan 2020
Toyota Homepage. https://global.toyota/en/mobility/case/#:~:text=CASE%20refers%20to%20new%20areas,to%20transportation%20into%20the%20future. Accessed 24 Jan 2020
Haberfellner, R., de Weck, O., Fricke, E., Vössner, S.: Systems Engineering: Grundlagen und Anwendung, 13. Aufl. Orell Füssli, Zürich (2015)
Salehi, V., Florian, G., Taha, J.: Implementation of Systems Modeling Language (Sysml) consideration of the consens approach. In: Marjanović, D., Štorga, M., Škec, S., Bojčetić, N., Pavković, N. (eds.) Proceedings of the DESIGN 2018 15th International Design Conference, Dubrovnik, pp. 2987–2998 (2018).
D'Ambrosio, J., Soremekun, G.: Systems engineering challenges and MBSE opportunities for automotive system design. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, pp. 2075–2080 (2017)
Ramos, A.L., Vasconcelos Ferreira, J., Barceló, J.: Model-based systems engineering: an emerging approach for modern systems. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 42(1), 101–111 (2012)
Knauss, E., Pellicone, P. Heldal, R., Ågren, M., Hellman, S., Maniette, D.: Continuous integration beyond the team: a tooling perspective on challenges in the automotive industry. In: Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 1–6, New York (2016).
Maro, S., Steghöfer, J.-P., Staron, M.: Software traceability in the automotive domain: challenges and solutions. J. Syst. Softw. 141, 85–110 (2018)
Meedeniya, D.A., Rubasinghe, I.D., Perera, I.: Software artefacts consistency management towards continuous integration: a roadmap. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 10(4), 100–110 (2019)
Dubois, H., Peraldi-Frati, M.-A., Lakhal, F.: A model for requirements traceability in a heterogeneous model-based design process: application to automotive embedded systems. In: 15th IEEE International Conference on Engineering of Complex Computer Systems, pp. 233–252. IEEE, Oxford (2010)
Pietzuch, P. R., and Bacon, J. M.: Hermes: a distributed event-based middleware architecture. In: Proceedings of the 22nd International Conference on Distributed Computing Systems Workshops, pp. 611–618. IEEE, Vienna (2002)
De Giusti, M. R., Lira, A. J., Oviedo, N. F.: Extract, transform and load architecture for metadata collection. In: VI Simposio Internacional de Bibliotecas Digitales, pp. 611–618. Pontificia Universidad Católica de Río Grande Do Sul, Porto Alegre (2010)
Bogdanov, A., Degtyarev, A., Shchegoleva, N., Korkhov, V., & Khvatov, V.: Big data virtualization: why and how? In: CEUR Workshop Proceedings (2679), pp. 11–21. RWTH Aachen University, Aachen (2020)
Martinez-Cruz, C., Blanco, I.J., Vila, M.A.: Ontologies versus relational databases: are they so different? A comparison. Artif. Intell. Rev. 38(4), 271–290 (2012)
Karbe, T., Hartig, K., Leitner, A., Melzi, A., Ekelin, C., Can, Ö., Reuter, C., Du Pontavice, P., Settelmeier, J.: State of the Art for Automotive Ontology, Project CRYSTAL, Deliverable No. D308.010 (2014)
Furrer, F.: Eine kurze Geschichte der Ontologie. Informatik-Spektrum 37(4), 308–317 (2014)
Studer, R., Benjamins, V.R., Fensel, D.: Knowledge engineering: principles and methods. Data Knowl. Eng. 25(1–2), 161–197 (1998)
Schilling, M.: Technologie und Konzepte des Semantic Web. Universität Osnabrück, Magisterarbeit (2005)
Bachmann, A.: Methoden- und Werkzeugunterstützung für Ontologie-basierte Software-Entwicklung, Dissertation, University of Marburg (2010)
Chandrasekaran, B., Josephon, J.R., Benjamins, V.R.: What Are ontologies, and why do we need them? IEEE Intell. Syst. 14(1), 20–26 (1999)
Hitzler, P., Krötzsch, M., Rudolph, S., Sure, Y.: Semantic web: Grundlagen, 1. Aufl. Springer, Berlin (2008)
Gaag, A. F.: Entwicklung einer Ontologie zur funktionsorientierten Lösungssuche in der Produktentwicklung, Dissertation, Technical University of Munich (2008)
Busse, J., Humm, B., Lübbert, C., Moelter, F., Reibold, A., Rewald, M., Schlüter, V., Seiler, B., Tegtmeier, E., Zeh, T.: Was bedeutet eigentlich Ontologie? Informatik Spektrum 37(4), 286–297 (2014)
Katasonov, A., Palviainen, M.: Towards ontology-driven development of applications for smart environments. In: 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 696–701. IEEE, Mannheim (2010)
Akmal, S., Shih, L.-H.S., Batres, R.: Ontology-based similarity for product information retrieval. Comput. Ind. 65(1), 91–107 (2014)
Uschold, M., Gruninger, M.: Ontologies: principles, methods and applications. Knowl. Eng. Rev. 11(2) (1996)
Alsafi, Y., Vyatkin, V.: Ontology-based reconfiguration agent for intelligent mechatronic systems. Robot. Comput.-Integrated Manuf. 26(4), 381–391 (2010)
Ganguly, P., Ray, P., Parameswaran, N.: Semantic interoperability in telemedicine through ontology-driven services. Telemed. e-Health 11(3), 405–412 (2005)
Paulheim, H.: Ontology-based application integration, extended version of the dissertation ‘ontology-based application integration on the user interface level’. Technische Universität Darmstadt, New York (2011)
Schmalenbach, H.H.: Ontologien zum Bereitstellen von Gestaltungswissen am Beispiel von Ingenieurkeramik, Dissertation, Karlsruhe Institute of Technology (2013)
W3C Homepage. https://www.w3.org/Addressing/URL/uri-spec.html. Accessed 19 Jan 2021
W3C Homepage. https://www.w3.org/standards/semanticweb/data. Accessed 19 Jan 2021
W3C Homepage. https://www.w3.org/TR/sparql11-overview/. Accessed 19 Jan 2021
Blair, G. S., Bennaceur, A., Georgantas, N., Grace, P., Issarny, V., Nundloll, V., & Paolucci, M.: The role of ontologies in emergent middleware: supporting interoperability in complex distributed systems. In: ACM/IFIP/USENIX International Conference on Distributed Systems Platforms and Open Distributed Processing, pp. 410–430. Springer, Berlin (2011)
Meng, M., Steinhardt, S., Schubert, A.: Application programming interface documentation: what do software developers want? J. Tech. Writing Commun. 48(3), 295–330 (2018)
De, B.: API Management, 1. Aufl. Apress, Berkeley (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
About this paper
Cite this paper
Klauß, M., Friedel, S., Krüger, J., Häuptle, T. (2021). Ontology-Driven and Integrated Automotive Systems Engineering. In: Bargende, M., Reuss, HC., Wagner, A. (eds) 21. Internationales Stuttgarter Symposium. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-33466-6_32
Download citation
DOI: https://doi.org/10.1007/978-3-658-33466-6_32
Published:
Publisher Name: Springer Vieweg, Wiesbaden
Print ISBN: 978-3-658-33465-9
Online ISBN: 978-3-658-33466-6
eBook Packages: Computer Science and Engineering (German Language)