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dc.contributor.advisorShing, Man-Tak
dc.contributor.authorShedd, Stephen F.
dc.date.accessioned2012-03-14T17:42:08Z
dc.date.available2012-03-14T17:42:08Z
dc.date.issued2002-09
dc.identifier.urihttp://hdl.handle.net/10945/4514
dc.description.abstractInteroperability is not a luxury, it is a necessity. Unfortunately, differences in data representation between various systems greatly complicates the task of achieving interoperability. Young's Object-Oriented Method for Interoperability (OOMI) describes a model-based, computer-aided methodology for resolving modeling differences among heterogeneous systems in order to enable system interoperability. The OOMI architecture and tool suite provide a high level of automation that will reduce the labor and complexity of integrating heterogeneous systems into a cooperative system of systems (federation of systems). The Component Model Correlation process in the OOMI architecture describes a methodology to correlate a component system's model of a real-world entity to the federation model of the same real-world entity. Once a correspondence is established, the OOMI tool suite facilitates the construction of wrapper-based translations between the component model and the federation model. These translations are then used in a run-time translator to enable interoperation between the federation of systems. This thesis describes the Component Model Correlation methodology and presents a prototype Component Model Correlator that assists an Interoperability Engineer in determining component model correspondence.en_US
dc.description.urihttp://archive.org/details/semanticndsyntac109454514
dc.format.extentxviii, 239 p. : ill. (some col.) ;en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
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.subject.lcshSystems softwareen_US
dc.subject.lcshXML (Document markup language)en_US
dc.subject.lcshNeural networks (Computer science)en_US
dc.subject.lcshJava (Computer program language)en_US
dc.titleSemantic and syntactic object correlation in the object-oriented method for interoperabilityen_US
dc.typeThesisen_US
dc.contributor.secondreaderYoung, Paul
dc.contributor.departmentComputer Science
dc.description.recognitionLieutenant, United States Navyen_US
etd.thesisdegree.nameM.S. in Computer Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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