Abstract
With more and more applications providing semantic data to improve interoperability, the amount of available RDF datasets is constantly increasing. The SPARQL query language is a W3C recommendation to provide query capabilities on such RDF datasets. Yet as the coverage of RDF datasets with efficient and available SPARQL endpoints is still limited, integration of data from different RDF sources is a bottleneck that has mostly to be done in RDF consuming clients. We tackle this bottleneck by introducing SPARQ\(\lambda \), an extension to the SPARQL 1.1 query language. SPARQ\(\lambda \) enables dynamic injection of RDF datasets during evaluation of the query, and by this lifts SPARQL to a tool to write templates for RDF producing functions in functional programming style. This is an important step to reduce the effort to write SPARQL queries that work on data from various sources. SPARQ\(\lambda \) is moreover suitable to directly translate to an RDF described Web service interface, which allows to lift integration of data and re-provisioning of integrated results from clients to cloud environments.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
References
RDF 1.1 Primer. https://www.w3.org/TR/rdf11-primer/
Shape Expressions Language 2.0. https://www.w3.org/TR/shex-semantics/
Shapes Constraint Language (SHACL). https://www.w3.org/TR/shacl/
SPARQL 1.1 Protocol. https://www.w3.org/TR/sparql11-protocol/
SPARQL 1.1 Update. https://www.w3.org/TR/sparql11-update/
Abdelaziz, I., Harbi, R., Khayyat, Z., Kalnis, P.: A survey and experimental comparison of distributed SPARQL engines for very large RDF data. Proc. VLDB Endow. 10(13), 2049–2060 (2017)
Baldini, I., Castro, P., Chang, K., Cheng, P., Fink, S., Ishakian, V., Mitchell, N., Muthusamy, V., Rabbah, R., Slominski, A., et al.: Serverless computing: current trends and open problems. In: Research Advances in Cloud Computing, pp. 1–20. Springer (2017)
Barbieri, D.F., Braga, D., Ceri, S., Valle, E.D., Grossniklaus, M.: C-SPARQL: a continuous query language for RDF data streams. Int. J. Semant. Comput. 4(01), 3–25 (2010)
Buil-Aranda, C., Arenas, M., Corcho, O., Polleres, A.: Federating queries in SPARQL 1.1: syntax, semantics and evaluation. Web Semant. Sci. Serv. Agents World Wide Web 18(1), 1–17 (2013). Special Section on the Semantic and Social Web
Buil-Aranda, C., Hogan, A., Umbrich, J., Vandenbussche, P.Y.: SPARQL web-querying infrastructure: ready for action? In: International Semantic Web Conference, pp. 277–293. Springer (2013)
Daga, E., Panziera, L., Pedrinaci, C.: A BASILar approach for building web APIs on top of SPARQL endpoints. In: CEUR Workshop Proceedings, vol. 1359, pp. 22–32 (2015)
Dia, A.F., Kazi-Aoul, Z., Boly, A., Chabchoub, Y.: C-SPARQL extension for sampling RDF graphs streams. In: Advances in Knowledge Discovery and Management, pp. 23–40. Springer (2018)
Fafalios, P., Tzitzikas, Y.: SPARQL-LD: a SPARQL extension for fetching and querying linked data. In: International Semantic Web Conference (Posters and Demos) (2015)
Fafalios, P., Yannakis, T., Tzitzikas, Y.: Querying the web of data with SPARQL-LD. In: International Conference on Theory and Practice of Digital Libraries, pp. 175–187. Springer (2016)
Fox, G.C., Ishakian, V., Muthusamy, V., Slominski, A.: Status of serverless computing and function-as-a-service (FaaS) in industry and research. arXiv preprint arXiv:1708.08028 (2017)
Jones, N.D., Gomard, C.K., Sestoft, P.: Partial Evaluation and Automatic Program Generation. Prentice-Hall International Series in Computer Science. Prentice-Hall, New York (1993)
Leng, Y., Zhikui, C., Zhong, F., Li, X., Hu, Y., Yang, C.: BRGP: a balanced RDF graph partitioning algorithm for cloud storage. Concurr. Comput. Pract. Exp. 29(14), e3896 (2017)
Michel, F., Faron-Zucker, C., Gandon, F.: Bridging web APIs and linked data with SPARQL micro-services. In: Extended Semantic Web Conference (ESWC) (2018)
Michel, F., Zucker, C.F., Gandon, F.: SPARQL micro-services: lightweight integration of web APIs and linked data. In: LDOW 2018-Linked Data on the Web, pp. 1–10 (2018)
Millard, I., Glaser, H., Salvadores, M., Shadbolt, N.: Consuming multiple linked data sources: challenges and experiences (2010)
Rakhmawati, N.A., Umbrich, J., Karnstedt, M., Hasnain, A., Hausenblas, M.: A comparison of federation over SPARQL endpoints frameworks. In: International Conference on Knowledge Engineering and the Semantic Web, pp. 132–146. Springer (2013)
Rietveld, L., Verborgh, R., Beek, W., Vander Sande, M., Schlobach, S.: Linked data-as-a-service: the semantic web redeployed. In: European Semantic Web Conference, pp. 471–487. Springer (2015)
Stadtmüller, S., Speiser, S., Harth, A.: Future challenges for linked APIs. In: SALAD@ ESWC, pp. 20–27 (2013)
Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., Van de Walle, R.: Web-scale querying through linked data fragments. In: LDOW. Citeseer (2014)
Acknowledgment
This work is supported by the Federal Ministry of Education and Research of Germany in the project Hybr-iT (Förderkennzeichen 01IS16026A).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Vogelgesang, C., Spieldenner, T., Schubotz, R. (2020). SPARQ\(\lambda \): SPARQL as a Function. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-12388-8_57
Download citation
DOI: https://doi.org/10.1007/978-3-030-12388-8_57
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12387-1
Online ISBN: 978-3-030-12388-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)