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@INPROCEEDINGS{Rybicki:829859,
      author       = {Rybicki, Jedrzej and von St. Vieth, Benedikt},
      title        = {{R}eproducible {E}valuation of {S}emantic {S}torage
                      {O}ptions},
      address      = {Wilmington, DE, USA},
      publisher    = {IARIA},
      reportid     = {FZJ-2017-03481},
      isbn         = {978-1-61208-552-4},
      pages        = {26-29},
      year         = {2017},
      comment      = {ALLDATA 2017, The Third International Conference on Big
                      Data, Small Data, Linked Data and Open Data},
      booktitle     = {ALLDATA 2017, The Third International
                       Conference on Big Data, Small Data,
                       Linked Data and Open Data},
      abstract     = {Distributed infrastructures are continuously challenged
                      with the task of storing and managing different types of
                      data. To this end, suitability and performance evaluations
                      of different available technologies have to be conducted. We
                      motivate our work with the concrete challenge of storing
                      semantic annotations in an efficient way. We treat this
                      problem from the resource provider perspective. The paper
                      includes work in progress of evaluating possible storage
                      engines for semantic annotations. The main focus, however,
                      is on creating a framework to conduct such evaluations in a
                      transparent and reproducible way. Our approach is based on
                      Docker tools, and, therefore, the tests can be run on
                      different platforms, and can be repeated if new version of
                      the evaluated technologies become available.},
      month         = {Apr},
      date          = {2017-04-23},
      organization  = {The Third International Conference on
                       Big Data, Small Data, Linked Data and
                       Open Data, Venice (Italy), 23 Apr 2017
                       - 27 Apr 2017},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {512 - Data-Intensive Science and Federated Computing
                      (POF3-512) / EUDAT2020 - EUDAT2020 (654065)},
      pid          = {G:(DE-HGF)POF3-512 / G:(EU-Grant)654065},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      url          = {https://juser.fz-juelich.de/record/829859},
}