Ontology Classifications

Acknowledgement

AbstractContent from simulation systems is useful in defining domain ontologies. We describe a digital library process to generate and leverage domain ontologies to support simulation systems tasks. Workflow ontologies may be used to define compositions of simulation-related services. Simulation model ontologies may be used in customizing collection management systems for tasks such as organization, interface construction, and metadata record generation.

Improving Simulation Management Systems through Ontology Generation and Utilization

Targeted Simulation Systems

Jonathan P. Leidig, Edward A. Fox, Kevin Hall, Madhav Marathe, Henning Mortveit Contact: leidig@vt.edu

Simulation Workflows

Ontology Generation and Technologies

Model Ontology-Utilizing Digital Library Services

This work has been partially supported by NSF SDCI Grant OCI-1032677, NSF Nets Grant CNS-062694, CNS-0831633, HSD Grant SES-0729441, CDC Center of Excellence in Public Health Informatics Grant 2506055-01, NIH-NIGMS MIDAS GM070694-05/06, and DTRA CNIMS Grant HDTRA1-07-C-0113.

Related Article:Jonathan Leidig, Edward Fox, Kevin Hall, Madhav Marathe, Henning Mortveit. SimDL: A Model Ontology Driven Digital

Library for Simulation Systems. ACM/IEEE Joint Conference on Digital Libraries, Ottawa, Canada, June 13-17, 2011.

Prototype Implementation & Applications SupportedSwiss Tropical InstituteMalaria modelsDataset analysis

Cyberinfrastructure Network ScienceNetwork simulationsNetwork analysis

Content staging Interface presentation of model parametersInput parameter gatheringInput configuration generationInput configuration validation

Input, result, and analysis storing and retrievingGathering provenance from workflow stagesModel-specific indexingFaceted browsingRanked searching

Ontology FormatsXML schemaRDF

Ontology GenerationHuman-intensive model ontology

generationMetadata description set generation

softwareHarmonization yields context-specific

ontologies

HarmonizationRDF descriptionsSoftware guided human mapping

Ontology TermsDublin Core termsInfrastructure and collection-level terms5S framework termsModel and context-specific terms

SchemaInput

ConfigurationOutput Result

Dataset

SimulationProcess

Analysis

AnalysisProcess

Documentation Annotation

Experiment

Epidemiology ApplicationsMalaria modelsInfluenza modelsODE and agent-based modelsModels from NIH MIDAS communityModels from Gates Foundation

community

Analysis applicationsNetwork analysisModel-specific analysis

Digital Library IntegrationInstitutional infrastructureNetwork science cyberinfrastructure

Virginia Bioinformatics InstituteBiological domainsInfectious diseases (e.g., H1N1, H5N1)Biological organsInfrastructure domainsTransportation systemsComputer and wireless networks

Simulation model ontology

Input schema

Result schema

Validation

Compatibleanalyses

Languagesupport

Model ontology

relationships(e.g., malaria,

influenza)

Modelontology

Modelontology

Modelontology

Context-specific ontologyContext ontology

relationships(e.g., epidemiology,

network science)Context ontology

Context ontology

Context ontology

Domain-specific meta-ontology

Recommending and Selecting

Model-SpecificOntologies

Model OntologyHarmonization

Context-SpecificOntologies

Context OntologyHarmonization

Domain MetaOntologies

Sample ContentInput Files

Result Summaries

Analyses

Result FilesProducts

Model-SpecificDescription Sets

HarmonizedDescription Sets

Example Records(XML, RDF)

DB MetadataSchemas (DDL)