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Interactive Exploration and Querying of RDF Data

Authors:
Martin Kryl
Petr Vcelak
Jana Kleckova

Keywords: RDF; visualization; data exploration; interactive SPARQL builder.

Abstract:
Many contemporary healthcare information systems incorporate and utilize Resource Description Framework (RDF) datasets, which are characteristic by their flexibility and ability to form complex data networks. Users might find themselves overwhelmed when trying to understand the data layout since there are no apparent rigid structures such as tables in relational databases. In this paper, we present a prototype data exploration tool, that enables users to grasp the data structure by exploring a simplified RDF model. The solution does not rely on ontological description. The visualization has four modes of interaction defined that allow exploration in different levels of detail. One of the modes can be used to interactively create a SPARQL SELECT query. The proposed solution combines graph visualization and data extraction techniques into a single tool and allows users without expert SPARQL knowledge to extract data from RDF graph.

Pages: 65 to 68

Copyright: Copyright (c) IARIA, 2018

Publication date: October 14, 2018

Published in: conference

ISSN: 2519-8491

ISBN: 978-1-61208-675-0

Location: Nice, France

Dates: from October 14, 2018 to October 18, 2018