Skip to main content
SpringerLink
Log in

A Universal Application Programming Interface to Access and Reuse Linked Open Data

  • Conference paper
  • First Online:
Web Engineering (ICWE 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12128))

Included in the following conference series:

  • 1522 Accesses

Abstract

In this paper we present a Universal API in order to facilitate the access and reuse of Linked Open Data (LOD). Nowadays, it is difficult to explore heterogeneous data by structured query languages, especially for end users and developers unfamiliar with SPARQL and RDF. Our solution proposes a universal access to the LOD scenario through a common interface, which automatically generates SPARQL queries to access data from any dataset available online. Moreover, the results given by this Universal API are restructured and parsed to well-known formats easily understandable by the majority of developers, such as JSON or CSV. In order to easily use the Web API proposed, there is a Web interface which guides users to get the desired data, providing appropriate documentation to facilitate the search of relevant information. The main innovation of this approach is offering programmatic access to Linked Open Data through the automatic building of SPARQL queries without requiring any prior knowledge of the data and the Semantic Web environment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://github.com/cgmora12/UniversalAPI.

  2. 2.

    https://wake.dlsi.ua.es/UniversalAPI.

  3. 3.

    https://wake.dlsi.ua.es/UniversalAPI/docs.

  4. 4.

    https://wake.dlsi.ua.es/UniversalAPIQuery.

  5. 5.

    https://jena.apache.org/documentation/io/rdf-json.html.

  6. 6.

    https://youtu.be/cXtmas_QQ-w.

References

  1. Daga, E., Panziera, L., Pedrinaci, C.: A BASILar approach for building web APIs on top of SPARQL endpoints. CEUR Workshop Proc. 1359, 22–32 (2015)

    Google Scholar 

  2. Di Noia, T., Mirizzi, R., Ostuni, V.C., Romito, D., Zanker, M.: Linked open data to support content-based recommender systems. In: Proceedings of the 8th International Conference on Semantic Systems, pp. 1–8. ACM (2012)

    Google Scholar 

  3. Ferré, S.: Sparklis: an expressive query builder for SPARQL endpoints with guidance in natural language. Semantic Web 8(3), 405–418 (2017)

    Article  Google Scholar 

  4. Grafkin, P., Mironov, M., Fellmann, M., Lantow, B., Sandkuhl, K., Smirnov, A.V.: SPARQL Query Builders: overview and Comparison. In: BIR Workshops (2016)

    Google Scholar 

  5. Heibi, I., Peroni, S., Shotton, D.: OSCAR: a customisable tool for free-text search over SPARQL endpoints. In: SAVE-SD, pp. 121–137 (2017)

    Google Scholar 

  6. Hoefler, P., Granitzer, M., Veas, E., Seifert, C.: Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints, vol. 1184, January 2014

    Google Scholar 

  7. Lisena, P., Meroño-Peñuela, A., Kuhn, T., Troncy, R.: Easy web API development with SPARQL transformer. In: Ghidini, C., et al. (eds.) ISWC 2019. LNCS, vol. 11779, pp. 454–470. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30796-7_28

    Chapter  Google Scholar 

  8. Merono-Penuela, A., Hoekstra, R.: grlc makes GitHub taste like linked data APIs. In: Sack, H., Rizzo, G., Steinmetz, N., Mladenic, D., Auer, S., Lange, C. (eds.) The Semantic Web, vol. 9989. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47602-5_48

    Chapter  Google Scholar 

  9. Nolle, A., Nemirovski, G., Sicilia, A., Pleguezuelos, J.: An approach for accessing linked open data for data mining purposes. In: Proceedings of RapidMiner Community Meeting and Conference (2013)

    Google Scholar 

  10. Schröder, M., Hees, J., Bernardi, A., Ewert, D., Klotz, P., Stadtmüller, S.: Simplified SPARQL REST API-CRUD on JSON Object Graphs via URI Paths. arXiv preprint arXiv:1805.01825 (2018)

Download references

Acknowledgments

This work has been funded by the Spanish Ministry of Economy, Industry and Competitiveness with grant TIN2016-78103-C2-2-R. Furthermore, César González-Mora has a contract for predoctoral training with the Generalitat Valenciana and the European Social Fund by the grant ACIF/2019/044.

Author information

Authors and Affiliations

  1. Web and Knowledge Group, University of Alicante, Alicante, 03690, Spain

    César González-Mora, Irene Garrigós & Jose Zubcoff

Authors
  1. César González-Mora
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Irene Garrigós
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jose Zubcoff
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to César González-Mora .

Editor information

Editors and Affiliations

  1. Slovak University of Technology, Bratislava, Slovakia

    Maria Bielikova

  2. University of Helsinki, Helsinki, Finland

    Tommi Mikkonen

  3. University of Lugano (USI), Lugano, Switzerland

    Cesare Pautasso

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

González-Mora, C., Garrigós, I., Zubcoff, J. (2020). A Universal Application Programming Interface to Access and Reuse Linked Open Data. In: Bielikova, M., Mikkonen, T., Pautasso, C. (eds) Web Engineering. ICWE 2020. Lecture Notes in Computer Science(), vol 12128. Springer, Cham. https://doi.org/10.1007/978-3-030-50578-3_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-50578-3_44

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50577-6

  • Online ISBN: 978-3-030-50578-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation