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)


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.


  1. 1.
    Vavilapalli, V.K., et al.: Apache Hadoop YARN: yet another resource negotiator. In: SOCC 2013 (2013)Google Scholar
  2. 2.
    Evelson, B., Kisker, H., Bennett, M., Christakis, S.: Benchmark your BI environment. Technical report, Forrester Research, Inc., October 2013Google Scholar
  3. 3.
    Schultz, A., Matteini, A., Isele, R., Bizer, C., Becker, C.: LDIF - linked data integration framework. In: COLD 2011 (2011)Google Scholar
  4. 4.
    Volz, J., Bizer, C., Gaedke, M., Kobilarov, G.: Discovering and maintaining links on the web of data. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 650–665. Springer, Heidelberg (2009) CrossRefGoogle Scholar
  5. 5.
    Pinkel, C., Binnig, C., Haase, P., Martin, C., Sengupta, K., Trame, J.: How to best find a partner? An evaluation of editing approaches to construct R2RML mappings. In: Presutti, V., d’Amato, C., Gandon, F., d’Aquin, M., Staab, S., Tordai, A. (eds.) ESWC 2014. LNCS, vol. 8465, pp. 675–690. Springer, Heidelberg (2014) CrossRefGoogle Scholar
  6. 6.
    Haase, P., Schmidt, M., Schwarte, A.: The information workbench as a self-service platform for linked data applications. In: COLD (2011)Google Scholar
  7. 7.
    Schwarte, A., Haase, P., Hose, K., Schenkel, R., Schmidt, M.: FedX: optimization techniques for federated query processing on linked data. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 601–616. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  8. 8.
    Pinkel, C., Binnig, C., Kharlamov, E., Haase, P.: IncMap: pay-as-you-go matching of relational schemata to OWL ontologies. In: OM (2013)Google Scholar
  9. 9.
    Dimou, A., Sande, M.V., Colpaert, P., Verborgh, R., Mannens, E., Walle, R.V.D.: RML: a generic language for integrated RDF mappings of heterogeneous data. In: LDOW (2014)Google Scholar
  10. 10.
    Knap, T., Kukhar, M., Macháč, B., Škoda, P., Tomeš, J., Vojt, J.: UnifiedViews: an ETL framework for sustainable RDF data processing. In: ESWC (Posters & Demos) (2014)Google Scholar
  11. 11.
    Kharlamov, E. et al.: Optique 1.0: semantic access to big data - the case of Norwegian petroleum directorate factpages. In: ISWC (Posters & Demos) (2013)Google Scholar

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© Springer International Publishing Switzerland 2015

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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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