Assisted Composition of Linked Data Queries

Imen Sarray, Aziz Salah

2019

Abstract

Much research has been undertaken to facilitate the construction of SPARQL queries, while other research has attempted to facilitate the construction of the RDF dataset schema to understand the structure of RDF datasets. However, there is no effective approach that brings together these two complementary objectives. This work is an effort in this direction. We propose an approach that allows assisted SPARQL query composition. Linked data interrogation is not only difficult because it requires mastering a query language such as SPARQL, but mainly because RDF datasets do not have an explicit schema as what you can expect in relational databases. This paper provides two complimentary solutions: synthesis of an interrogation-oriented schema and a form-based RDF Query construction tool, name EXPLO-RDF.

Paper Citation

in Harvard Style

Sarray I. and Salah A. (2019). Assisted Composition of Linked Data Queries. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD; ISBN 978-989-758-382-7, SciTePress, pages 185-194. DOI: 10.5220/0008169601850194

in Bibtex Style

@conference{keod19,
author={Imen Sarray and Aziz Salah},
title={Assisted Composition of Linked Data Queries},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD},
year={2019},
pages={185-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008169601850194},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD
TI - Assisted Composition of Linked Data Queries
SN - 978-989-758-382-7
AU - Sarray I.
AU - Salah A.
PY - 2019
SP - 185
EP - 194
DO - 10.5220/0008169601850194
PB - SciTePress