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Intuitive Ontology-Based SPARQL Queries for RDF Data Exploration

Rodríguez Díazand, Alejandro, Benito-Santos, Alejabdro, Dorn, Amelie, Abgaz, Yalemisew, Wandl-vogt, Eveline and Theron, Roberto (2019) Intuitive Ontology-Based SPARQL Queries for RDF Data Exploration. IEEE Access, 7 . pp. 156272-156286. ISSN 2169-3536

This paper introduces a strategy for both the retrieval and analysis of linked open data (LOD) based on the use of visual tools. Retrieving and understanding data from triplestores (such as SPARQL) requires technical knowledge and proves to be challenging with large datasets, which result in an increase in the mental overload when unknown ontologies are involved in the creation of complex queries. These two problems benefit greatly from visual techniques that allow for executing them in an easier and more intuitive manner. These techniques have already been applied to each problem separately; however, we propose combining them to lower the complexity of triple-store data retrieval and empower its exploration and analysis through specific data visualizations. To demonstrate the suitability of this strategy, a web-based tool was implemented. It allows for the creation of interactive queries using node-link ontology representations, and a subsequent filtering and analysis through a configurable dashboard with different data visualizations. This paper also presents a user-centred design process and evaluation of the proposed tool.
Item Type:Article (Published)
Uncontrolled Keywords:Semantic Web, visualization, software tools, linked open data.
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Official URL:https://ieeexplore.ieee.org/document/8873596
Funders:The ADAPT ‘‘Centre for Digital Content Technology’’, Dublin City University, Ireland
ID Code:24355
Deposited On:02 Jul 2024 14:41 by Yalemisew Abgaz . Last Modified 02 Jul 2024 14:41

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