Commenced in January 2007
Paper Count: 30121
An Ontology Model for Systems Engineering Derived from ISO/IEC/IEEE 15288: 2015: Systems and Software Engineering - System Life Cycle Processes
Abstract:ISO/IEC/IEEE 15288: 2015, Systems and Software Engineering - System Life Cycle Processes is an international standard that provides generic top-level process descriptions to support systems engineering (SE). However, the processes defined in the standard needs improvement to lift integrity and consistency. The goal of this research is to explore the way by building an ontology model for the SE standard to manage the knowledge of SE. The ontology model gives a whole picture of the SE knowledge domain by building connections between SE concepts. Moreover, it creates a hierarchical classification of the concepts to fulfil different requirements of displaying and analysing SE knowledge.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1339576Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1057
 T. Schneider, A. Hashemi, M. Bennett, M. Brady, C. Casanave, H. Graves, et al, “Ontology for big systems: The ontology summit 2012 communiqué”, Applied Ontology, vol. 7, 2012, pp. 357–371.
 INCOSE, Systems engineering handbook: a guide for system life cycle processes and activities, version 4.0, Hoboken, NJ, USA: John Wiley and Sons, Inc, ISBN: 978-1-118-99940-0, 2015.
 L. C. Van Ruijven, “Ontology and model-based systems engineering”, Procedia Computer Science, vol. 8, 2012, pp. 194–200.
 A. J. C. Trappey, C. V. Trappey and C. Y. Wu, “Automatic patent document summarization for collaborative knowledge systems and services”, Journal of Systems Science and Systems Engineering, vol. 18, 2009, pp. 71–94.
 C. Smartt and S. Ferreira, “Advancing systems engineering in support of the bid and proposal process”, Systems Engineering, vol. 14, 2011, pp. 255–266.
 A. M. Madni, W. Lin and C. C. Madni, “IDEONTM: An extensible ontology for designing, integrating, and managing collaborative distributed enterprises”, Systems Engineering, vol. 4, 2001, pp. 35–48.
 R. B. Magnaye, B. J. Sauser and J. E. Ramirez-Marquez, “System development planning using readiness levels in a cost of development minimization model”, Systems Engineering, vol. 13, 2010, pp. 311–323.
 A. Sharon, O. L. de Weck and D. Dori, “Project management vs. systems engineering management: a practitioners’ view on integrating the project and product domains”, Systems Engineering, vol. 14, 2011, pp. 427–440.
 R. J. Cloutier and D. Verma, “Applying the concept of patterns to systems architecture”, Systems Engineering, vol. 10, 2007, pp. 138–154.
 M. d'Aquin and A. Gangemi, “Is there beauty in ontologies”, Applied Ontology, vol. 6, 2011, pp. 165–175.
 M. Gruninger, O. Bodenreider, F. Olken, L. Obrst and P.Yim,“Ontology summit 2007- ontology, taxonomy, folksonomy: understanding the distinctions”, Applied Ontology, vol. 3, 2008, pp. 191–200.
 W. B. Rouse, “Complex engineered, organizational and natural systems”, Systems Engineering, vol. 10, 2007, pp. 260–271.
 R. Iqbal, M. A. A. Murad A Mustapha and N. M. Sharef, “An analysis of ontology engineering methodologies: a literature review”, Research journal of applied sciences, engineering and technology, vol. 6, 2013, pp. 2993–3000.
 D. B. Lenat and R. V. Guha, “Building large knowledge-based systems: representation and inference in the CYC project”, Artificial Intelligence, vol. 61, 1993, pp.95–104.
 M. Uscholdand M. King, Towards a methodology for building ontologies. Edinburgh, Artificial Intelligence Applications Institute, University of Edinburgh, 1995.
 M. Grüninger and M. S. Fox, “Methodology for the design and evaluation of ontologies”, 1995.
 A. Gómez-Pérez, M Fernández and A. Vicente, “Towards a method to conceptualize domain ontologies”, 1996.
 S. Staab, R. Studer, H. P. Schnurr and Y. Sure, “Knowledge processes and ontologies”, IEEE Intelligent Systems, vol. 16, 2001, pp. 26–34.
 N. F. Noy and D. L. McGuinness, “Ontology development 101: a guide to creating your first ontology”, 2001.