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rdfedit: User Supporting Web Application for Creating and Manipulating RDF Instance Data

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Metadata and Semantics Research (MTSR 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 478))

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Abstract

rdfedit is a web application running on Django, rdflib and jQuery DataTables that supports novices in the field of Semantic Web technologies with the creation of RDF instance metadata. By utilizing the Semantic Web search engine Sindice, rdfedit can transform literals into URIs, fetch triples from external resources and import them into the user’s local graph. Metadata experts can easily configure these features of rdfedit to fit their preferences regarding metadata schemata, so metadata creators with few knowledge about Semantic Web technologies can create RDF data in a fast and consistent manner while also following the Linked Data principles.

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Author information

Authors and Affiliations

  1. Berlin School of Library and Information Science, Humboldt-Universität zu Berlin, Germany

    Oliver Pohl

Authors
  1. Oliver Pohl
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Editor information

Editors and Affiliations

  1. Technik und Wirtschaft Fakulät, Hochschule Karlsruhe, Amalienstr. 81-87, 76133, Karlsruhe, Germany

    Sissi Closs

  2. Karlsruhe Institute of Technology, Germany

    Rudi Studer

  3. Department of Library Science & Information Systems, Alexander Technological Educational Institute of Thessaloniki, Sindos,Thessaloniki, Greece

    Emmanouel Garoufallou

  4. Information Engineering Research Unit, Computer Science Department, University of Alcalá, Ctra. Barcelona km. 33.6, 28871, Alcalá de Henares, Madrid, Spain

    Miguel-Angel Sicilia

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© 2014 Springer International Publishing Switzerland

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Pohl, O. (2014). rdfedit: User Supporting Web Application for Creating and Manipulating RDF Instance Data. In: Closs, S., Studer, R., Garoufallou, E., Sicilia, MA. (eds) Metadata and Semantics Research. MTSR 2014. Communications in Computer and Information Science, vol 478. Springer, Cham. https://doi.org/10.1007/978-3-319-13674-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-13674-5_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13673-8

  • Online ISBN: 978-3-319-13674-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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