Glossary
- LOD:
-
Linked Open Data
- URI:
-
Uniform Resource Identifier
Definition
Linked Data is the collective term for data following a paradigm based on four simple rules: (a) using URIs to identify entities, (b) using http-URIs allowing to de-reference and look up entities, (c) providing useful information at these URIs based on standard formats (e.g., RDF, SPARQL), and (d) connecting and interlinking to other entities in order to allow for further exploration (Berners-Lee 2007). For the data to fully qualify as Linked Open Data (LOD), it should additionally be provided publicly, be available on the web, and be under an open license.
Making use of semantic web formats, LOD implements the vision of a web of data. The underlying technologies allow on the one hand for a globally unique identification of entities via URIs as well as clear semantics of the relations modelled by the links between the entities. As a consequence, LOD should be easier to integrate and reuse in multiple contexts...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Berners-Lee T (2007) Linked Data. http://www.w3.org/DesignIssues/LinkedData.html. Accessed 19 Aug 2013
Cyganiak R, Jentzsch A (2011) Linking Open Data cloud diagram. http://lod-cloud.net/
Recommended Reading
Heath T, Bizer C (2011) Linked Data: evolving the web into a global data space. Synthesis lectures on the semantic web: theory and technology, vol 1(1), 1st edn. Morgan & Claypool, San Rafael, pp 1–136
Weikum G (2013) Where's the data in the big data wave? http://wp.sigmod.org/?p=786. Accessed 19 Aug 2013
Heath T, Bizer C (2011) Linked Data: evolving the web into a global data space. Synthesis lectures on the semantic web: theory and technology, vol 1(1), 1st edn. Morgan & Claypool, San Rafael, pp 1–136
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this entry
Cite this entry
Gottron, T., Staab, S. (2014). Linked Open Data. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_111
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6170-8_111
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6169-2
Online ISBN: 978-1-4614-6170-8
eBook Packages: Computer ScienceReference Module Computer Science and Engineering