There is an emerging demand on techniques addressing the
problem of efficiently archiving and (temporal) querying different versions of evolving semantic Web data. While systems archiving and/or temporal querying are still in their early days, we consider this a good time to discuss benchmarks for evaluating storage space efficiency for
archives, retrieval functionality they serve, and the performance of various retrieval operations. To this end, we provide a blueprint on benchmarking archives of semantic data by defining a concise set of operators that cover the major aspects of querying of and interacting with such
archives. Next, we introduce BEAR, which instantiates this blueprint to serve a concrete set of queries on the basis of real-world evolving data. Finally, we perform an empirical evaluation of current archiving techniques that is meant to serve as a first baseline of future developments
on querying archives of evolving RDF data. (authors' abstract) / Series: Working Papers on Information Systems, Information Business and Operations
| Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:4615 |
| Date | January 2015 |
| Creators | Fernandez Garcia, Javier David, Umbrich, Jürgen, Polleres, Axel |
| Publisher | Department für Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business |
| Source Sets | Wirtschaftsuniversität Wien |
| Language | English |
| Detected Language | English |
| Type | Paper, NonPeerReviewed |
| Format | application/pdf |
| Relation | http://epub.wu.ac.at/4615/ |
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