The SPARQL Micro-Service architecture [1, 3] enables querying Web APIs with SPARQL, as well as assigning dereferenceable URIs to Web API resources that do not have a URI in the first place.
Each SPARQL micro-service is a lightweight SPARQL endpoint that typically provides access to a small, resource-centric graph. It takes arguments that depend on the Web API, query the Web API, and build a graph that uses any vocabulary or ontology of your choice.
The most straightforward way to run SPARQL micro-services is using the Docker deployment option.
Then, these slides describe the main concepts behind SPARQL micro-services and provide a guide to quickly write and setup your first SPARQL micro-service.
You can check out some services we published at https://sparql-micro-services.org/. The source of these services is provided in a separate Github repository: sparql-micro-services.org/
The HTML documentation and test interface is generated dynamically from the micro-service descriptions, that embeds Schema.org markup to make the services discoverable using for instance Google Dataset Search.
A demo showcases the use of SPARQL micro-services to integrate, within a single SPARQL query, biodiversity data from a regular Linked Data source with non-RDF data resources: photos, scientific articles, life traits, audio recordings, all obtained through dedicated Web APIs wrapped in SPARQL micro-services.
This project comes with several example SPARQL micro-services, allowing for instance to search photos matching some tags on Flickr, or tunes whose titles match a given name in MusicBrainz.
Also, in the TaxrefWeb repository we provide services to query major biodiversity data sources such as the GBIF, BHL or EoL.
Michel F., Faron C., Gargominy O. & Gandon F. (2018). Integration of Web APIs and Linked Data Using SPARQL Micro-Services—Application to Biodiversity Use Cases. Information 9(12):310. DOI, HAL.
@article{michel_sparqlmicroservices_2018,
title = {Integration of {{Web APIs}} and {{Linked Data Using SPARQL Micro}}-{{Services}}\textemdash{{Application}} to {{Biodiversity Use Cases}}},
volume = {9},
copyright = {Licence Creative Commons Attribution 4.0 International (CC-BY)},
issn = {2078-2489},
language = {en},
number = {12},
journal = {Information},
doi = {10.3390/info9120310},
author = {Michel, Franck and Faron, Catherine and Gargominy, Olivier and Gandon, Fabien},
month = dec,
year = {2018},
pages = {310},
url = {https://hal.archives-ouvertes.fr/hal-01947589}
}
[3] Michel F., Faron C., Gargominy O. & Gandon F. (2018). Integration of Web APIs and Linked Data Using SPARQL Micro-Services—Application to Biodiversity Use Cases. Information 9(12):310. DOI, HAL.
[1] Michel F., Faron-Zucker C. and Gandon F. SPARQL Micro-Services: Lightweight Integration of Web APIs and Linked Data. In Proceedings of the Linked Data on the Web Workshop (LDOW2018). HAL.
[2] Michel F., Gargominy O., Tercerie S. & Faron-Zucker C. (2017). A Model to Represent Nomenclatural and Taxonomic Information as Linked Data. Application to the French Taxonomic Register, TAXREF. In Proceedings of the 2nd International Workshop on Semantics for Biodiversity (S4BioDiv) co-located with ISWC 2017. Vienna, Austria. CEUR vol. 1933. HAL.
[4] Michel F., Faron-Zucker C., Corby O. and Gandon F. Enabling Automatic Discovery and Querying of Web APIs at Web Scale using Linked Data Standards. In LDOW/LDDL'19, companion proceedings of the 2019 World Wide Web Conference (WWW'19 Companion). HAL.
Michel F., Faron-Zucker C. & Gandon F. (2018). Bridging Web APIs and Linked Data with SPARQL Micro-Services. In The Semantic Web: ESWC 2018 Satellite Events, LNCS vol. 11155, pp. 187–191. Heraklion, Greece. Springer, Cham. HAL.
Michel F., Faron-Zucker C. & Gandon F. (2018). Integration of Biodiversity Linked Data and Web APIs using SPARQL Micro-Services. In Biodiversity Information Science and Standards 2: e25481 (TDWG 2018). Dunedin, New Zealand. Pensoft. DOI, HAL. Available online: https://sparql-micro-services.org/demo-sms?param=Delphinapterus%20leucas