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dc.contributor.authorBasu, Amrita
dc.date.accessioned2014-03-04T16:20:19Z
dc.date.available2014-03-04T16:20:19Z
dc.date.issued2008-12
dc.identifier.otherbasu_amrita_200812_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/basu_amrita_200812_ms
dc.identifier.urihttp://hdl.handle.net/10724/25124
dc.description.abstractThis thesis presents an ontology-based approach to automatic annotation of workflow data. Although much work has been done on the annotation of data found on the Web, little work has been done on the subject of annotation of workflow data, in particular data manipulated by scientific workflows. Such workflows generally try to automate experimental processes which are data and computation intensive. In order to correlate among the vast array of data, as well as for machines to process the data, we need to annotate the data with suitable terms and relationships from the vocabulary of a knowledge describing the protocols of the experiments producing the data. In the Semantic Web terminology, this vocabulary is called the ontology. In this thesis, we introduce a way of annotating experimental data produced from scientific workflows using a web-based annotation definition tool called TOAD (Tool for Ontology based Annotation of workflow Data).
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectSemantic Web
dc.subjectOntology
dc.subjectRDF
dc.subjectN3 notation
dc.subjectWFMS
dc.subjectqRT-PCR
dc.titleAutomatic workflow process and data annotation
dc.title.alternativedesign and execution environment
dc.typeThesis
dc.description.degreeMS
dc.description.departmentComputer Science
dc.description.majorComputer Science
dc.description.advisorKrzysztof J. Kochut
dc.description.committeeKrzysztof J. Kochut
dc.description.committeeWilliam York
dc.description.committeeJohn A. Miller


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