MS defense: Building a Database semanticizer for Task Computing

Start: Monday, December 06, 2004, 11:30AM

End: Monday, December 06, 2004, 01:00AM

Location: ITE 325

Abstract: The vision of the Semantic web is to give the web a well defined meaning by representing the same in OWL and linking it to ontologies accepted commonly by standardization efforts. Most of the formatted data is today stored in the form of relational databases. We need to RDFize it in order to use this data on the Semantic Web. The data model behind RDF is a directed labeled graph, which consists of nodes and labeled directed arcs linking pairs of nodes. To export data from an RDBMS into RDF, the relational database model has to be mapped to the graph-based RDF data model. We go for a service oriented model to capture the necessary values we require to create a semantic instance. We have modeled our application as a semantic service for Task Computing.

Also we have demonstrated the usefulness of our system in the domains of Task Computing and the Bioinformatics Grid Computing domain. Bio grid task computing environments are now able to access legacy databases and pass on tuples in the form of semantic instances. Also we demonstrated how Bio grid Computing can enhance the user experience of a bioinformatics researcher.

Assertions:

(Photo) Anubhav Sonthalia defends his MS thesis was taken at (Event) MS defense: Building a Database semanticizer for Task Computing.
(Event) MS defense: Building a Database semanticizer for Task Computing has PowerPoint slides (Resource) Database Semanticizer Presentation


	UMBC eBiquity Events / Talks MS defense: Building a Database semanticizer for Task Computing OWL metadata Update record		MS defense: Building a Database semanticizer for Task Computing Tweet Speaker: Anubhav Sonthalia Start: Monday, December 06, 2004, 11:30AM End: Monday, December 06, 2004, 01:00AM Location: ITE 325 Abstract: The vision of the Semantic web is to give the web a well defined meaning by representing the same in OWL and linking it to ontologies accepted commonly by standardization efforts. Most of the formatted data is today stored in the form of relational databases. We need to RDFize it in order to use this data on the Semantic Web. The data model behind RDF is a directed labeled graph, which consists of nodes and labeled directed arcs linking pairs of nodes. To export data from an RDBMS into RDF, the relational database model has to be mapped to the graph-based RDF data model. We go for a service oriented model to capture the necessary values we require to create a semantic instance. We have modeled our application as a semantic service for Task Computing. Also we have demonstrated the usefulness of our system in the domains of Task Computing and the Bioinformatics Grid Computing domain. Bio grid task computing environments are now able to access legacy databases and pass on tuples in the form of semantic instances. Also we demonstrated how Bio grid Computing can enhance the user experience of a bioinformatics researcher. Assertions: (Photo) Anubhav Sonthalia defends his MS thesis was taken at (Event) MS defense: Building a Database semanticizer for Task Computing. (Event) MS defense: Building a Database semanticizer for Task Computing has PowerPoint slides (Resource) Database Semanticizer Presentation ,