Skip to main content
SpringerLink
Log in

Linked Open Data

  • Living reference work entry
  • First Online:
Encyclopedia of Database Systems

Synonyms

Linked data; LOD; Open linked data; Web of linked data

Definition

The term Linked Open Data refers to all data that is published on the Web according to a set of best practices, the Linked Data Principles [1]. The idea behind these principles is, on the one hand side, to use standards for the representation and the access to data on the Web. On the other hand, the principles propagate to set hyperlinks between data from different sources. These hyperlinks connect all Linked Data into a single global data graph, similar as the hyperlinks on the classic Web connecting all HTML documents into a single global information space.

Technically, Linked Data relies on Uniform Resource Identifiers (URIs) for the identification of entities, the Resource Description Framework (RDF) as unifying data model, and the Hypertext Transfer Protocol (HTTP) for accessing entity descriptions. An RDF link connects the descriptions of two entities published by different data sources. Linked Data...

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

Access this chapter

Log in via an institution

Institutional subscriptions

Recommended Reading

  1. Berners-Lee T. Linked data; 2006. Available from: http://www.w3.org/DesignIssues/LinkedData.html

  2. Jentzsch A, Cyganiak R, Bizer C. State of the LOD cloud; 2011. Available from: http://lod-cloud.net/state/. [Cited 5 Apr 2011].

  3. Bizer C, Heath T, Berners-Lee T. Linked data-the story so far. Int J Seman Web Inf Syst. 2009;5(3):1–22.

    Article  Google Scholar 

  4. Schmachtenberg M, Bizer C, Paulheim H. Adoption of the linked data best practices in different topical domains. In: The semantic web – ISWC, vol. 2014. Berlin/Heidelberg: Springer; 2014. p. 245–60.

    Google Scholar 

  5. Bizer C, Eckert K, Meusel R, Mühleisen H, Schuhmacher M, Völker J. Deployment of RDFa, microdata, and microformats on the web – a quantitative analysis. In: The semantic web – ISWC, vol. 2013. Berlin/Heidelberg: Springer; 2013. p. 17–32.

    Google Scholar 

  6. Harth A, Hose K, Schenkel R. Linked data management. Boca Raton: CRC Press; 2014.

    Book  Google Scholar 

  7. Aranda CB, Hogan A, Umbrich J, Vandenbussche PY. SPARQL web-querying infrastructure: ready for action? In: International Semantic Web Conference (ISWC); 2013. p. 277–93.

    Google Scholar 

  8. Isele R, Bizer C. Learning expressive linkage rules using genetic programming. PVLDB. 2012;5(11):1638–49.

    Google Scholar 

  9. Hartig O. An overview on execution strategies for linked data queries. Datenbank-Spektrum. 2013;13(2):89–99.

    Article  Google Scholar 

  10. Montoya G, Ibáñez LD, Skaf-Molli H, Molli P, Vidal ME. SemLAV: local-as-view mediation for SPARQL queries. Trans Large-Scale Data-Knowl-Cent Syst (TLDKS). 2014;13:33–58.

    Google Scholar 

  11. Zaveri A, Rula A, Maurino A, Pietrobon R, Lehmann J, Auer S. Quality assessment for linked data: a survey; 2014. http://www.semantic-web-journal.net/system/files/swj773.pdf

  12. Fanizzi N, d’Amato C, Esposito F. Mining linked open data through semi-supervised learning methods based on self-training. In: ICSC; 2012. p. 277–84.

    Google Scholar 

  13. Ibáñez LD, Skaf-Molli H, Molli P, Corby O. Col-graph: towards writable and scalable linked open data. In: The semantic web – ISWC, vol. 2014. Berlin/Heidelberg: Springer; 2014. p. 325–40.

    Google Scholar 

  14. Heath T, Bizer C. Linked data: evolving the web into a global data space. San Rafael: Morgan & Claypool Publishers; 2011.

    Google Scholar 

  15. Fundulaki I, Auer S. Linked open data – introduction to the special theme. ERCIM News. 2014;2014(96):8–9.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Web-based Systems Group, University of Mannheim, Mannheim, Germany

    Christian Bizer

  2. Computer Science, Universidad Simon Bolivar, Caracas, Venezuela

    Maria-Esther Vidal

  3. Computer Science, University of Nantes, Nantes, France

    Hala Skaf-Molli

Authors
  1. Christian Bizer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maria-Esther Vidal
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hala Skaf-Molli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Christian Bizer .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. Fac. of IE & Mgmt., Technion--Israel Inst. of Technology, Haifa, Haifa, Israel

    Avigdor Gal

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media LLC

About this entry

Cite this entry

Bizer, C., Vidal, ME., Skaf-Molli, H. (2017). Linked Open Data. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_80603-2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_80603-2

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4899-7993-3

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Search

Navigation