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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

Ontology from an MBSE perspective

Brief-out from breakout session

Monday, January 31st, 2011

IW11 Phoenix, AZ - MBSE Workshop


Ontology from an mbse perspective1
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


What is an ontology
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


Why apply ontologies to mbse
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


What are some approaches
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


What are the critical issues
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


Roadmap
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


Participants
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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