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001     829859
005     20230713131917.0
020 _ _ |a 978-1-61208-552-4
024 7 _ |2 Handle
|a 2128/14372
037 _ _ |a FZJ-2017-03481
041 _ _ |a English
100 1 _ |0 P:(DE-Juel1)144343
|a Rybicki, Jedrzej
|b 0
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111 2 _ |a The Third International Conference on Big Data, Small Data, Linked Data and Open Data
|c Venice
|d 2017-04-23 - 2017-04-27
|g ALLDATA
|w Italy
245 _ _ |a Reproducible Evaluation of Semantic Storage Options
260 _ _ |a Wilmington, DE, USA
|b IARIA
|c 2017
295 1 0 |a ALLDATA 2017, The Third International Conference on Big Data, Small Data, Linked Data and Open Data
300 _ _ |a 26-29
336 7 _ |2 ORCID
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520 _ _ |a 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.
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536 _ _ |0 G:(EU-Grant)654065
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700 1 _ |0 P:(DE-Juel1)128756
|a von St. Vieth, Benedikt
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