SPARQL Query Formulation and Execution using FedViz

Health care and life sciences research heavily relies on the ability to search, discover, formulate and correlate data from distinct sources. Although the Semantic Web and Linked Data technologies help in dealing with data integration problem, there remains a barrier adopting these for non-technical research audiences. In this paper we present FedViz, a visual interface for SPARQL query formulation and execution. FedViz facilitates both federated and non-federated SPARQL queries formulation through a visual interface and uses FedX for query execution and the results retrieval. We evaluate the usability of our system by using the Standard System Usability scale. Overall usability score of 74.16 suggests that FedViz interface is easy to learn, consistent, and adequate for frequent use.