Skip to main content

Class and Instance Equivalences in the Web of Linked Data: Distribution and Graph Structure

  • Conference paper
  • First Online:
  • 1151 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1355))

Abstract

The Web of Linked Open Data (LOD) is a decentralized effort in publishing datasets using a set of conventions to make them accesssible, notably thought RDF and SPARQL. Links across nodes in published datasets are thus critical in getting value for the LOD cloud as a collective effort. Connectivity among the datasets can occur through these links. Equivalence relationship is one of the fundamental links that connects different schemas or datasets, and is used to assert either class or instance equivalence. In this article, we report an empirical study on the equivalences found in over 59 million triples from datasets accessible via SPARQL endpoints in open source data portals. Metrics from graph analysis have been used to examine the relationships between repositories and determine their relative importance as well as their ability to facilitate knowledge discovery.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Notes

  1. 1.

    https://old.datahub.io.

  2. 2.

    https://pypi.org/project/SPARQLWrapper/.

  3. 3.

    https://www.w3.org/TR/rdf11-concepts/.

  4. 4.

    http://linkeddata.uriburner.com/.

  5. 5.

    https://isidore.science/.

References

  1. Halpin, H., Hayes, P.J., McCusker, J.P., McGuinness, D.L., Thompson, H.S.: When owl:sameAs isn’t the same: an analysis of identity in linked data. In: Patel-Schneider, P.F., et al. (eds.) ISWC 2010. LNCS, vol. 6496, pp. 305–320. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-17746-0_20

    Chapter  Google Scholar 

  2. Halpin, H., Hayes, P.J., Thompson, H.S.: When owl:sameAs isn’t the same redux: towards a theory of identity, context, and inference on the semantic web. In: Christiansen, H., Stojanovic, I., Papadopoulos, G.A. (eds.) CONTEXT 2015. LNCS (LNAI), vol. 9405, pp. 47–60. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25591-0_4

    Chapter  Google Scholar 

  3. Raad, J., Pernelle, N., Saïs, F., Beek, W., van Harmelen, F.: The sameas problem: a survey on identity management in the Web of data. ArXiv preprint arXiv:1907.10528 (2019)

  4. Ding, L., Shinavier, J., Finin, T., McGuinness, D. L.: owl:sameAs and linked data: an empirical study. In: Proceedings of the 2nd Web Science Conference, April 2010 (2010)

    Google Scholar 

  5. Beek, W., Raad, J., Wielemaker, J., van Harmelen, F.: sameAs.cc: the closure of 500M owl:sameAs statements. In: Gangemi, A., Navigli, R., Vidal, M.-E., Hitzler, P., Troncy, R., Hollink, L., Tordai, A., Alam, M. (eds.) ESWC 2018. LNCS, vol. 10843, pp. 65–80. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93417-4_5

    Chapter  Google Scholar 

  6. Rajabi, E., Sanchez-Alonso, S., Sicilia, M.A.: Analyzing broken links on the web of data: an experiment with DBpedia. J. Assoc. Inf. Sci. Technol. 65(8), 1721–1727 (2014)

    Article  Google Scholar 

  7. Blondel, V., Guillaume, J., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech: Theory Exp. 2008, 10008 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Salvador Sanchez-Alonso .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sanchez-Alonso, S., Sicilia, M.A., Rajabi, E., Mora-Cantallops, M., Garcia-Barriocanal, E. (2021). Class and Instance Equivalences in the Web of Linked Data: Distribution and Graph Structure. In: Garoufallou, E., Ovalle-Perandones, MA. (eds) Metadata and Semantic Research. MTSR 2020. Communications in Computer and Information Science, vol 1355. Springer, Cham. https://doi.org/10.1007/978-3-030-71903-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-71903-6_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71902-9

  • Online ISBN: 978-3-030-71903-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics