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RDF

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Encyclopedia of Social Network Analysis and Mining

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Glossary

RDF:

Resource Description Framework

RDFS:

RDF Schema

URI:

Uniform Resource Identifier

Definition

The Resource Description Framework (RDF) provides a model for representing data. Its background is set historically in a web environment where it is used for representing information in a device- and platform-independent way. The data model of RDF corresponds to a directed, labelled graph. Technically RDF consists of several W3C recommendations which define its concepts and abstract syntax (Klyne and Carroll). Work on the RDF 1.1 specifications has commenced and reached a draft status at W3C (Cyganiak and Wood).

The core idea of RDF is to represent “things” by URIs. Information is provided by statements about the things and statements are expressed as triples. These triples consist of a subject, a predicate, and an object and express that the subject is in a certain relation (identified by the predicate) with the object. The relations between things can be interpreted and...

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Author information

Authors and Affiliations

  1. Institute for Web Science and Technologies, Universität Koblenz-Landau, Koblenz, Germany

    Thomas Gottron & Steffen Staab

Authors
  1. Thomas Gottron
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  2. Steffen Staab
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Corresponding author

Correspondence to Thomas Gottron .

Editor information

Editors and Affiliations

  1. Computer Science, University of Calgary, Calgary, Alberta, Canada

    Reda Alhajj

  2. University of Calgary Computer Science, Calgary, Canada

    Jon Rokne

Section Editor information

  1. Institute for Web Science and Technologies, Universität Koblenz-Landau, Koblenz, Germany

    Thomas Gottron

  2. YU, Amsterdam, The Netherlands

    Stefan Schlobach

  3. Institute for Web Science and Technologies – WeST, University of Koblenz-Landau, Universitätsstraße 1, 56070, Koblenz, Germany

    Steffen Staab

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© 2017 Springer Science+Business Media LLC

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Gottron, T., Staab, S. (2017). RDF. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_114-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7163-9_114-1

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7163-9

  • Online ISBN: 978-1-4614-7163-9

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

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