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International Semantic Web Doctoral Symposium Research Topic: Representing Discrete-Event Simulation Process-Interaction Models using the Web Ontology Language - OWL

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Title: International Semantic Web Doctoral Symposium Research Topic: Representing Discrete-Event Simulation Process-Interaction Models using the Web Ontology Language - OWL


1
International Semantic Web Doctoral
Symposium Research Topic Representing
Discrete-Event Simulation Process-Interaction
Models using the Web Ontology Language - OWL
  • November 7, 2005
  • Lee W. Lacy
  • PhD Candidate
  • University of Central Florida

2
PIMODES Research Overview
  • Discrete-event simulation models support
    operations research and other applications
  • These models have historically been represented
    in vendor-specific file formats that have made
    sharing/interchange difficult
  • Research is being performed to develop an OWL
    ontology that will provide a neutral interchange
    description of these types of models.
  • The ontology is being scoped to a particular type
    of discrete event simulation model descriptions
    those that adhere to the process-interaction
    world view
  • The interchange of simulation models using the
    ontology will be demonstrated using web-based
    software

3
Presentation Outline
  • Purpose Description
  • Goal Statement
  • Methodology
  • Evaluation
  • Summary

4
Purpose Description
  • Simulation Model Interchange Challenges
  • Scoping the Problem
  • Subject Domain
  • Benefits of Interchange

5
Why Interchange Models?
  • Leverage investment in model development through
    reuse
  • Higher quality through reuse of validated models
  • Speed development lifecycle
  • Reduce development costs
  • Enable competition of model development
    environments and compliant execution engines
  • Potential software manufacturer push-back if not
    presented correctly
  • Need to sell the HTML and XML business models
  • Shift model development emphasis from programming
    to model quality

6
Scoping the Proposed Research
  • Simulation data interchange topic broad
  • Various types of simulation data
  • Emphasis shifting from code to data
  • Simulation models represent one type of data in
    newer data-driven systems
  • Model is problem-specific while execution engine
    is problem-independent
  • Discrete-event simulations represent one type of
    simulation
  • Further scoped by world view

7
Subject Domain
8
Benefits of Model Interchange
  • Better
  • Reuse of validated models
  • Faster
  • Quicker to create new models by leveraging
    existing models
  • Cheaper
  • Lower cost due to reuse instead of creation

9
Goal Statement
  • Develop an ontology to support Discrete Event
    simulation model interchange
  • Ontology becomes a de facto language
  • New ontology/language harmonizes the most
    important aspects of legacy languages
  • Legacy models can then be converted to/from the
    new lingua franca enabling interchange

10
Methodology
  • Use of OWL Ontologies
  • Research Activities
  • Research Plan
  • Feedback Opportunities
  • Anticipated Results

11
Simulation Ontology Representations
  • Proposed by Lacy (2004) and Miller Fishwick
    (2004)
  • Provides advantages over traditional (e.g., XML)
    approaches
  • Requires the development of a meta-model
  • Existing modeling languages have implicit
    ontologies
  • New explicit ontologies in effect describes a new
    modeling language
  • Mappings required from legacy languages to the
    new ontology

12
Web Ontology Language - OWL
  • OWL became a World Wide Web Consortium (W3C)
    Standard in February 2004
  • OWL will be used to define a Process-Interaction
    Modeling Ontology for Discrete-Event Simulations
    (PIMODES)
  • Compliant instance files are represented using
    RDF/XML

13
OWLs Layered Architecture
14
Research Plan
15
A0 View
16
A2 Literature Search (2) Activities
  • Formalize domain semantics (2.1)
  • Survey existing discrete-event process-interaction
    (2.2)
  • Software packages (2.2.2)
  • Modeling languages (2.2.3)
  • Formalisms/Representation methods (2.2.4)
  • Review related simulation information interchange
    research (2.3)
  • Describe Semantic Web technology (2.4)

17
Evaluation
  • Develop sample model in ProcessModel and Arena
  • Convert legacy model representations to DEPIM
  • Convert DEPIM representation to legacy formats
  • Compare converted models to original models

18
Demonstration Data Flow
19
Summary
  • Simulation data is interchanged in a variety of
    ways
  • Interchange is best performed with open standards
  • OWL can be used to define an ontology for
    Discrete-Event Process-Interaction models
  • Use of such an ontology can be demonstrated by
    converting legacy simulation model formats
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