Project Introduction:

Oracle Database enables you to store semantic data and ontologies, to query semantic data and to perform ontology-assisted query of enterprise relational data, and to use supplied or user-defined inferencing to expand the power of querying on semantic data.
The database contains semantic data and ontologies (RDF/OWL models), as well as traditional relational data. To load semantic data, bulk loading is the most efficient approach, although you can load data incrementally using transactional INSERT statements.
You can query semantic data and ontologies, and you can also perform ontology-assisted queries of semantic and traditional relational data to find semantic relationships.
You can expand the power of queries on semantic data by using inferencing, which uses rules in rule bases. Inferencing enables you to make logical deductions based on the data and the rules.


Intern task description:
Selected candidates will create a simple, easy to use, and scalable RDF visualizer that can be embedded in web centric applications and delpoyed in WebLogic Server. The visualizer will retrieve RDF triples from graphs and subgraphs stored in Oracle's semantic technologies repository. It should be able to handle large subgraphs through information abstraction, and will provide zooming and incremental node expansion for navigational analysis of RDF data. Candidates must have interest in developing visual tools and be conversant with tools and techniques related to such development.


Requirement

·Master's or PhD candidate in Computer Science or related field
·Experience with projects involving user interfaces/visual tools development,
·Java programming experience,
·Useful but optional knowledge include RDBMS, SQL, PL/SQL, RDF, SPARQL and OWL,
·Oracle's Application Development Framework (ADF) is a plus.


Please send your resume to yong.zhao(at)oracle.com
--
FROM 202.45.129.*