120 likes | 147 Views
Understand how ontologies fit into MBSE, benefits of incorporating them, challenges faced, and a roadmap for implementation.
E N D
Ontology in MBSE How ontologies fit into MBSE The benefits and challenges
Outline • What MBSE brings to engineering • What Ontology brings to MBSE • How do ontologies get used in MBSE • Benefits of incorporating ontologies • Challenges • Roadmap
What MBSE brings to engineering The use of digital models that represent a system under design or analysis are the primary engineering authority Model Interpretation
Some OMG Terminology Regarding Models OMG distinguishes the model, the modeling language, and the subject of the model Model Modeling Language Level 1 Expressed in Interpreted In Subject Level 0
What is an Ontology A collection of concepts and relationships used in modeling a domain Example of Vehicle Ontology Standard specialization classification of vehicles 2-wheeled Drive Car Truck Standard list of attributes for vehicles Vehicle Weight Geometry Geometry Type Wheel IsPartOf
How is an Ontology Used in MBSE A model may use the concepts from multiple ontologies Ontology Ontology Ontology Uses Concepts from Model Modeling Language Expressed in
Ontologies may be Organized into hierarchies Fundamental terms use in all projects, disciplines, and applications Foundation Ontologies Base, Mission, Project, Quantities-Units-Dimensions-Values, Analysis, Artifact, Architecture Description use Discipline Ontologies Mechanical, Electrical, Physics, Thermal, Propulsion, Attitude Control, Navigation, … Discipline-specific terms specified and owned by discipline experts use Focus is integration and interoperation Kinds of items that are modeled in a project; specified and owned by application experts use Application Ontologies Star Tracker, Sun Sensor, Reaction Wheel, Thruster,.. 2-axis vs. 3-axis S/C; Radio vs. optical comm; … Focus is reuse
Benefits of incorporating ontologies into MBSE • Standardization of domain terminology • Enable common understanding of the domain (interoperabilty) • Enable reuse of domain knowledge • Make domain assumptions explicit • Separate domain knowledge from the operational knowledge • Analyze domain knowledge
Challenges • Determining a hierarchy of candidate ontologies for standardization • Coalescing ontology hierarchy with scope and uses relations • Getting general acceptance and involvement from appropriate standards bodies • Standardizing on suitable logical formalization to express semantics
INCOSE MBSE Ontology Roadmap Design optimization across broad trade space Cross domain effects based analysis System of systems interoperability Reduced cycle times MBSE Capability January 29, 2011 Institutionalized MBSE across Academia/Industry Establishing Ontology Standards Establishing Formal Semantics For Ontologies Well Defined within MBSE Refer to activities in the following areas: Incorporating feedback and republishing Engaging standards bodies Maturity • Planning & Support • Research • Standards Development • Processes, Practices, & Methods • Tools & Technology Enhancements • Outreach, Training & Education Publishing candidate ontologies Developing candidate hierarchy of Ontologies Ad Hoc use of Ontologies 2011 2020 2025 INCOSE IW2011 MBSE Workshop
A Stack of Semantic Standards for Ontologies Inference Standards Common Meaning ModelingLanguage Standards INCREASING INTEROPERABILITY Common Vocabulary Metadata Standards Discovery Data Interchange Format Standards Exchange Global Resource Identification Standards Recovery Increasing use of standards To enable semantic interoperability