SPARQLES: Monitoring public SPARQL endpoints

Pierre Yves Vandenbussche; Jürgen Umbrich; Luca Matteis; Aidan Hogan; Carlos Buil-Aranda

doi:10.3233/SW-170254

SPARQLES: Monitoring public SPARQL endpoints

Pierre Yves Vandenbussche, Jürgen Umbrich, Luca Matteis, Aidan Hogan, Carlos Buil-Aranda

Research output: Contribution to journal › Article › peer-review

58 Scopus citations

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.

Original language	English
Pages (from-to)	1049-1065
Number of pages	17
Journal	Semantic Web
Volume	8
Issue number	6
DOIs	https://doi.org/10.3233/SW-170254
State	Published - 2017
Externally published	Yes

Keywords

Linked Data
SPARQL endpoints
Semantic Web
Web of Data

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10.3233/SW-170254

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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.",

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AU - Vandenbussche, Pierre Yves

AU - Umbrich, Jürgen

AU - Matteis, Luca

AU - Hogan, Aidan

AU - Buil-Aranda, Carlos

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Linked Data

KW - SPARQL endpoints

KW - Semantic Web

KW - Web of Data

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VL - 8

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JO - Semantic Web

JF - Semantic Web

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ER -

SPARQLES: Monitoring public SPARQL endpoints

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Keywords

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