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dc.contributor.advisorYounan, Nicolas H.
dc.contributor.advisorDurbha, Surya S.
dc.contributor.authorBheemireddy, Shruthi
dc.date2009
dc.date.accessioned2020-08-28T16:40:36Z
dc.date.available2020-08-28T16:40:36Z
dc.identifier.urihttps://hdl.handle.net/11668/19385
dc.description.abstractIn today’s world, ontologies are being widely used for data integration tasks and solving information heterogeneity problems on the web because of their capability in providing explicit meaning to the information. The growing need to resolve the heterogeneities between different information systems within a domain of interest has led to the rapid development of individual ontologies by different organizations. These ontologies designed for a particular task could be a unique representation of their project needs. Thus, integrating distributed and heterogeneous ontologies by finding semantic correspondences between their concepts has become the key point to achieve interoperability among different representations. In this thesis, an advanced instance-based ontology matching algorithm has been proposed to enable data integration tasks in ocean sensor networks, whose data are highly heterogeneous in syntax, structure, and semantics. This provides a solution to the ontology mapping problem in such systems based on machine-learning methods and string-based methods.
dc.publisherMississippi State University
dc.subject.lccOntologies (Information retrieval)
dc.subject.lccSemantic Web.
dc.subject.lccComputer algorithms.
dc.subject.lccSensor networks.
dc.subject.lccMarine meteorology.
dc.subject.othersemantic web
dc.subject.otherstring distance metrics
dc.subject.othermachine learning techniques
dc.subject.otherontology mapping
dc.titleMachine Learning-Based Ontology Mapping Tool to Enable Interoperability in Coastal Sensor Networks
dc.typeThesis
dc.publisher.departmentDepartment of Electrical and Computer Engineering.
dc.publisher.collegeBagley College of Engineering
dc.date.authorbirth1985
dc.subject.degreeMaster of Science
dc.subject.majorElectrical Engineering
dc.contributor.committeeKing, Roger L.
dc.contributor.committeeFowler, James E.


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