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Ontology from an MBSE perspective

Ontology from an MBSE perspective. Brief-out from breakout session Monday, January 31 st , 2011. Ontology from an MBSE perspective. What is an ontology? Why apply ontologies to MBSE? What are some approaches? What are the critical issues? Roadmap?. What is an ontology?.

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Ontology from an MBSE perspective

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  1. Ontology from an MBSE perspective Brief-out from breakout session Monday, January 31st, 2011 IW11 Phoenix, AZ - MBSE Workshop

  2. Ontology from an MBSE perspective • What is an ontology? • Why apply ontologies to MBSE? • What are some approaches? • What are the critical issues? • Roadmap? IW11 Phoenix, AZ - MBSE Workshop

  3. What is an ontology? • Definition of a set of concepts, properties, relationships that are applicable to a domain/universe of discourse • Formal model founded in a theory • Theory e.g. first order logic / common logic • Ontology = Conceptual Data Model (?) • Issue: term “model” is highly overloaded http://en.wikipedia.org/wiki/Ontology_(information_science) In computer science and information science, an ontology is a formal representation of the knowledge by a set of concepts within a domain and the relationships between those concepts. It is used to reason about the properties of that domain, and may be used to describe the domain. IW11 Phoenix, AZ - MBSE Workshop

  4. Why apply ontologies to MBSE? • Formalized definition of a domain • Enables semantic interoperability • Within domains • Across domains • Tool/platform independence • Long term stable definition • Enables types of analysis: inferencing / reasoning • Enables re-use across projects and enterprises • Allows to reap benefit from semantic (web) technology • Supports effective tool production (MDA-like) • Knowledge management / sharing • Helps / forces you to think more clearly about design problem IW11 Phoenix, AZ - MBSE Workshop

  5. What are some approaches? • NASA/JPL develops QVT based bi-directional transformations between SysML/UML and OWL as well ontologies for space system development • Ontologies are largely generic • Working to release ontologies • ECSS develops conceptual data models in UML2 • Derived concepts from SysML, AP233, ESA projects • Tool–indepent definitions • Eclipse based tool implementation for validation • Evolved into complete tool development framework • About to be published on www.ecss.nl • Henson Graves: Retrofit SysML with formal semantics • Fact Based Modeling (FBM) • Consolidate ORM (Object Role Modeling) ECSS = European Cooperation for Space Standardization IW11 Phoenix, AZ - MBSE Workshop

  6. What are the critical issues? • To make the case for ontologies • Up front investment / Convince management • Note: • Semantic foundations of UML/SysML are incomplete and complex • Hundreds of issues found in UML 2.4 revision • Scope of SysML is very large • What methodology to use to develop ontologies? • What is the technology to capture ontologies in? • Model management issues • Ontology development tools not yet at industrial robust level IW11 Phoenix, AZ - MBSE Workshop

  7. Roadmap? • Refine this material • Team charter • Write up on 4 approaches • Address the benefits / shortcomings of each • Post the above to OMG Wiki • Identify next steps • Consider papers for IS12 in Rome IW11 Phoenix, AZ - MBSE Workshop

  8. Participants • Henson Graves (Lead) • Armin Mueller • Harald Eisenmann • Ray Jorgensen • Roger Burkhart • Sandy Friedenthal • Steve Jenkins • Steve Vanhorn • Hans Peter de Koning (reporter) IW11 Phoenix, AZ - MBSE Workshop

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