Automatic workflow process and data annotation
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This 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).