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SPARQL Query Formulation and Execution using FedViz

Authors: 

Syeda Sana e Zainab, Muhammad Saleem, Qaiser Mehmood, Durre Zehra, Stefan Decker, Ali Hasnain

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Health care and life sciences research heavily relies on the ability tosearch, discover, formulate and correlate data from distinct sources. Although theSemantic Web and Linked Data technologies help in dealing with data integra-tion problem there remains a barrier adopting these for non-technical researchaudiences. In this paper we present FedViz, a visual interface for SPARQL queryformulation and execution. FedViz is explicitly designed to increase intuitive in-teraction with data from distributed sources. FedViz facilitates both federated and non-federated SPARQL queries formulation through a visual interface and uses FedX for query execution and the corresponding results retrieval. We evaluate theusability of our system by using the standard system usability scale questionnaire.Our overall usability score of74.16suggests that FedViz interface is easy to learn,consistent, and adequate for frequent use
Conference Name: 
ISWC 2015 Poster and Demo
Digital Object Identifer (DOI): 
10.NA
Publication Date: 
13/10/2015
Conference Location: 
United States of America
Research Group: 
Institution: 
NUIG
Open access repository: 
No
Publication document: