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DataOps: Seamless End-to-End Anything-to-RDF Data Integration

  • Christoph PinkelEmail author
  • Andreas Schwarte
  • Johannes Trame
  • Andriy Nikolov
  • Ana Sasa Bastinos
  • Tobias Zeuch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9341)

Abstract

While individual components for semantic data integration are commonly available, end-to-end solutions are rare.

We demonstrate DataOps, a seamless Anything-to-RDF semantic data integration toolkit. DataOps supports the integration of both semantic and non-semantic data from an extensible host of different formats. Setting up data sources end-to-end works in three steps: (1) accessing the data from arbitrary locations in different formats, (2) specifying mappings depending on the data format (e.g., R2RML for relational data), and (3) consolidating new data with existing data instances (e.g., by establishing owl:sameAs links). All steps are supported through a fully integrated Web interface with configuration forms and different mapping editors. Visitors of the demo will be able to perform all three steps of the integration process.

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Copyright information

© Springer International Publishing Switzerland 2015

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  • Christoph Pinkel
    • 1
    Email author
  • Andreas Schwarte
    • 1
  • Johannes Trame
    • 1
  • Andriy Nikolov
    • 1
  • Ana Sasa Bastinos
    • 1
  • Tobias Zeuch
    • 1
  1. 1.Fluid Operations AGWalldorfGermany

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