Affiliations: [a] Fujitsu (Ireland) Limited, Swords, Co. Dublin, Ireland. E-mail: [email protected] | [b] Vienna University of Economy and Business (WU), Austria. E-mail: [email protected] | [c] Department of Computer Science, Sapienza University of Rome, Italy. E-mail: [email protected] | [d] Center for Semantic Web Research, Department of Computer Science, University of Chile, Chile. E-mail: [email protected] | [e] Center for Semantic Web Research, Departamento de Informática, Universidad Técnica Federico Santa María, Chile. E-mail: [email protected]
Abstract: We describe SPARQLES: an online system that monitors the health of public SPARQL endpoints on the Web by probing them with custom-designed queries at regular intervals. We present the architecture of SPARQLES and the variety of analytics that it runs over public SPARQL endpoints, categorised by availability, discoverability, performance and interoperability. We also detail the interfaces that the system provides for human and software agents to learn more about the recent history and current state of an individual SPARQL endpoint or about overall trends concerning the maturity of all endpoints monitored by the system. We likewise present some details of the performance of the system and the impact it has had thus far.
Keywords: SPARQL endpoints, Linked Data, Semantic Web, Web of Data
DOI: 10.3233/SW-170254
Journal: Semantic Web, vol. 8, no. 6, pp. 1049-1065, 2017
