¹CNRS Femto-ST Institute – UMR 6174 University of Bourgogne France-Comté(UBFC), Besancon, France.
²Department of Electrical Engineering, Faculty of Engineering, Khon Kaen University, Thailand

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Abstract—The aim of this paper is to retrieve results efficiently from 3 related ontologies using a new tool based on SPARQL: “OntoQuer”. OntoQuer consists of 6 menus designed to cover all searches from users. The highlight of OntoQuer is that users can obtain results without any background in SPARQL syntax. OntoQuer compiles at each step in a simple way. The outstanding advantages of OntoQuer are the system can automatically create SPARQL query to find the results and able to validate the correction of syntax. OntoQuer simply proceeds the data in Resource Description Framework (RDF) and the Web Ontology Language (OWL). In addition, the current search with Thai-English transliterated words does not support foreign tourists. The existence of OntoQuer can solve the mentioned problem. The implementation of OntoQuer was designed with 3 newly-developed ontologies (Tourism ontology, Language ontology and UserProfile ontology) to tackle this issue with the case study of Phuket tourism. The ontological knowledge was required in order to improve search effectiveness using ontological data in SPARQL query. The combination of OntoQuer with 3 ontologies has offered a powerful search tool with high efficiency and greater flexibility to users.

Index Terms—SPARQL, RDF, URI, ontology, OntoQuer.

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Cite: Chochiang K., Grabmann B., Sa-ngiamsak C., Betbeder M. L., Lapayre J. C., "OntoQuer: A Tool for Building SPARQL Query Automatically Applying with Our Ontologies," Journal of Software vol. 12, no. 2, pp. 145-152, 2017.