1 / 20

Ontologies and Simulations

THE SUPPORTING ROLE OF ONTOLOGY IN A SIMULATION SYSTEM FOR COUNTERMEASURE EVALUATION Nelia Lombard DPSS, CSIR. Introduction. Ontologies and Simulations What are the possible advantages that an ontology might have in the simulation environment?

levi
Download Presentation

Ontologies and Simulations

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. THE SUPPORTING ROLE OF ONTOLOGY IN A SIMULATION SYSTEM FOR COUNTERMEASUREEVALUATIONNelia LombardDPSS, CSIR

  2. Introduction • Ontologies and Simulations • What are the possible advantages that an ontology might have in the simulation environment? • Can an ontology provide solutions to some of the challenges to be dealt with in the countermeasure simulation system?

  3. Contents • What is an Ontology • The Countermeasure Simulation System • Possible Role of Ontology in the Simulation System • Constructing the Ontology • Lessons Learned • Conclusions and Future Development

  4. What is Ontology? • Study the meaning of being • How an object relates to the world and to itself • Describes the world • Not a taxonomy Taxonomy: Oryx->Helicopter->Aircraft->Transport Ontology: • Oryx has countermeasures • Oryx can hover

  5. Ontology in Information Systems and Computing • The artifact present, in a formal way, the knowledge of a domain as a set of concepts and relationships between the concepts, for the purpose of reasoning.

  6. Use of Ontologies • Share a common understanding of the structure of information and the concepts • A common vocabulary • Enable reuse of the domain knowledge • For example, time ontology • Make domain assumptions explicit • Separate domain knowledge from the operational knowledge • Analysis of domain knowledge

  7. The Countermeasure Simulation System • Purpose: • Evaluate countermeasure design • Determine aircraft vulnerability • Simulate the interaction between models as results of specific events • Use realistic models

  8. The Countermeasure Simulation System • The Simulation Scenario • Type of aircraft: e.g. Oryx • Flight plan: How will the Oryx fly? • Type of missile threat • Type of countermeasure and the dispensing logic • Atmospheric conditions: e.g. clear skies or fog • Terrain model

  9. The Countermeasure Simulation System • Extensible Markup Language (XML) is a set of rules for encoding documents in machine-readable format • Model parameters are set up in XML files • Simulation output written to XML files <Scenario> Name=”TestPoint1” <Movings> <Moving> FileName =”Oryx.xml” Type=”DPSSORYX” /> </Movings> <Observers> <Observer> FileName=”ThreatType1.xml” Type=”BaseMissile” /> </Observers> <Atmosphere> FileName=”Atmo.xml” /> </Scenario>

  10. The Countermeasure Simulation System • Simulation results processed to show effectiveness of countermeasure against threat • Results: • 3D Viewer • Videos

  11. Possible Role of Ontology in the Countermeasure Simulation System • To know what is available in the system • Guideline for new models • High-level description • Verify and validation of scenarios • Reverse engineer previous simulations

  12. Constructing the Ontology • Where will it be used? • How can it add benefit? • Purpose • To capture concepts in a simulation scenario • Scope • A Simulation Scenario

  13. Creating the Ontology (1) • Identify the classes • Scenario, Target, Threat, Atmosphere, Countermeasure • Define object properties • Relationships between classes • Target has countermeasure • Scenario has target • Define data properties • Position, Velocity

  14. Creating the Ontology (2) • Create individuals Specific objects used in the simulation • Target: Oryx • Atmosphere: Fog • Countermeasure: Flare • Scenario: ScenarioFlareLeftOryx200ft30kn

  15. Classes in the Ontology

  16. Object Properties

  17. Data Properties

  18. Ontology: Lessons Learned • Naming of classes • Consistency • Agreement • Classes versus instances • Match the real world • Modeling roles as classes • Classes can loose their roles over time

  19. Conclusions • Clear, common understanding of what is in the domain • High-level description • Capture the meaning of objects • Future functionality: Use ontology to set up scenario and to reason about validity of scenario

  20. Commentary Questions? Suggestions Input

More Related