@inproceedings{98397418826a49a68889818fa3923bde,
title = "Ontology Supporting Model-Based Systems Engineering Based on a GOPPRR Approach",
abstract = "Model-based systems engineering (MBSE) has become a new trend in systems engineering. The core of MBSE is the use of models to formalize product development and the product itself (requirement, architecture, etc.) using different languages throughout the entire lifecycle. However, different tools based on different modeling languages in each development phase lead to considerable deviations during information sharing between the models. In this paper, a GOPPRR approach is proposed to describe system characteristics and system development based on meta-models for different architecture descriptions using meta-meta models including Graph, Object, Point, Property, Role, and Relationship. Moreover, ontology based on W3C Web Ontology Language{\^A} (OWL) is designed to support the GOPPRR approach for unified model representations and further to implement model integration in the entire lifecycle. Finally, the feasibility of the GOPPRR approach and the ontology formalism supporting MBSE is verified through an auto-braking case of an autonomous driving system.",
keywords = "GOPPRR, MBSE, Model transformation, OWL",
author = "Hongwei Wang and Guoxin Wang and Jinzhi Lu and Changfeng Ma",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; World Conference on Information Systems and Technologies, WorldCIST 2019 ; Conference date: 16-04-2019 Through 19-04-2019",
year = "2019",
doi = "10.1007/978-3-030-16181-1\_40",
language = "英语",
isbn = "9783030161804",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "426--436",
editor = "Hojjat Adeli and Sandra Costanzo and Reis, \{Lu{\'i}s Paulo\} and {\'A}lvaro Rocha",
booktitle = "New Knowledge in Information Systems and Technologies - Volume 1",
address = "德国",
}