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dc.contributor.authorDastgheib, Shima
dc.date.accessioned2016-09-22T04:30:23Z
dc.date.available2016-09-22T04:30:23Z
dc.date.issued2016-05
dc.identifier.otherdastgheib_shima_201605_phd
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/dastgheib_shima_201605_phd
dc.identifier.urihttp://hdl.handle.net/10724/36067
dc.description.abstractAn ontology represents knowledge in the form of concepts and concept taxonomies, as well as relationships existing among them. Domain-specific ontologies serve a very important purpose, not only as an integral component of different semantics-driven applications, but also as an important source of knowledge in those domains. Ontological approach to data integration challenge allows for creating a unified resource for a specific domain, which precisely represents the domain knowledge and enables hypothesis generation based on integrative analyses of existing data in one place. A high quality domain ontology should accurately define the domain knowledge in terms of classes and relationships, which are populated either directly by a community of researchers or using instances obtained from well-curated data sources. Although the data sources containing the relevant data to fill these concepts and relationships are usually available, the data of interest is frequently “buried” among large amounts of other irrelevant data and hence, it is challenging for researchers to find all data about a domain of interest and to assemble it into a useful block of knowledge. We present mOntage, a framework for creating domain-specific ontologies built from existing data sources. The framework approaches the data integration challenge by montaging the subsets of relevant data from different data sources and creating a unified Ontology in one place. The framework encompasses Creation and Population, Verification, Assisted Graphical Querying and Updating and Versioning of the created ontology.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectOntology Engineering
dc.subjectSemantic Technologies
dc.subjectData Integration
dc.subjectSPARQL
dc.subjectDomain-specific Ontologies
dc.subjectHypothesis Generation
dc.subjectSPARQL
dc.subjectGraphical User Interface
dc.titlemOntage
dc.title.alternativea framework for domain ontology engineering
dc.typeDissertation
dc.description.degreePhD
dc.description.departmentComputer Science
dc.description.majorComputer Science
dc.description.advisorKrzysztof J. Kochut
dc.description.committeeKrzysztof J. Kochut
dc.description.committeeLakshmish Ramaswamy
dc.description.committeeJohn A. Miller
dc.description.committeeNatarajan Kannan


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