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dc.contributor.authorBlais, Curtis
dc.contributor.authorReece, Douglas
dc.contributor.authorSingapogu, Samuel
dc.date2019
dc.date.accessioned2020-05-22T23:18:32Z
dc.date.available2020-05-22T23:18:32Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10945/64735
dc.descriptionSISO 2019-SIWen_US
dc.descriptionApproved for public release; distribution is unlimited.en_US
dc.descriptionDocuments include Paper & Presentation.en_US
dc.descriptionSimulation Interoperability Standards Organization (SISO) SIW Conference Paperen_US
dc.description.abstractA critical challenge in computing is making human information intelligible to automated systems. The long- standing domain of Knowledge Representation in the field of artificial intelligence addresses this challenge through both representation schemes (how information is encoded) and computational algorithms (how information is processed). For distributed systems on the scale of the World Wide Web, numerous researchers and organizations have laid out a technical approach and road map, often referred to as the Semantic Web and Semantic Web Stack, respectively. These technologies are intended to improve the encoding of semantics to enable automated systems to perform reasoning that will assist human users more effectively. Formalization of information into an ontology using a standard encoding language such as the Web Ontology Language (OWL) creates opportunities for advanced capabilities. Just as we have seen adoption of XML in the Simulation Interoperability Standards Organization (SISO) as a means for specifying standards for interoperability over the past 15 years, it appears likely that a similar transition is necessary in the coming years as the community becomes more aware of the opportunities and benefits from using formal semantic representations in specification and use of its interoperability standards.en_US
dc.format.extent15 p.
dc.language.isoen_US
dc.publisherSimulation Interoperability Standards Organization (SISO)
dc.relation.ispartofseries2019-SIW-013
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subjectOntologyen_US
dc.subjectsemantic interoperabilityen_US
dc.subjectSemantic Weben_US
dc.subjectRDFen_US
dc.subjectOWLen_US
dc.subjectXMLen_US
dc.titleFrom Information Description to Information Understanding: The Role of Ontology in Emerging SISO Standardsen_US
dc.typeConference Paperen_US
dc.contributor.departmentModeling, Virtual Environments, and Simulation Institute (MOVES)


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