|M.Sc Student||Shmuela Jacobs|
|Subject||Translating OPM System Models to RDF format for Their|
Integration into the Semantic Web
|Department||Department of Industrial Engineering and Management||Supervisors||Assistant Professor Reichart Roi|
|Full Professor Dori Dov|
|Dr. Wengrowicz Niva|
|Full Thesis text|
Model-Based Systems Engineering (MBSE) is gradually becoming an acceptable good practice, especially for large scale complex systems. The variety of modeling languages allows detailed representation of domain-specific knowledge of different components and aspects of a system. Systems engineering typically comprises designing, verifying, and integrating a system’s components by different teams, who use different modeling tools. In order to maintain consistency across the various models of the same system and enable effective integration, a common platform that can interpret and translate across various modeling languages is required.
Semantic Web concepts offer opportunities for easier and more efficient collaboration between design and verification teams using different modeling tools. The Semantic Web defines specifications and protocols for data representation, retrieval, and modification.
This research concerns integrating Object-Process Methodology (OPM) into the Semantic Web by translating it to and from Resource Description Framework (RDF) and assessing the quality of this integration. OPM is a formal, simple, and powerful framework, which provides a holistic view of the system’s function, structure, and behavior, while RDF is the basis for the Semantic Web. The research deals with the first integration stages - exporting OPM models built in OPM CASE Tool (OPCAT) to RDF format and importing RDF files to OPCAT. This involves defining the OPM ontology in a way that conforms to Semantic Web specifications. Different approaches of element representation are discussed and investigated as the ontology is validated by round-trip transformation of OPM models from their visual representation to RDF and back. The assessment which was done by asking OPM experts to respond to questions on two original OPM models and their round-trip translation outcomes has yielded positive results, confirming the overall high quality of the translation from OPM to RDF and back to OPM, as well as some problems with the translation that require further research.