Evaluating Query and Storage Strategies for RDF Archives

Javier David Fernandez Garcia, Jürgen Umbrich, Axel Polleres, Magnus Knuth

Publication: Scientific journalJournal articlepeer-review

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There is an emerging demand on efficiently archiving and (temporal) querying different versions of evolving semantic Web
data. As novel archiving systems are starting to address this challenge, foundations/standards for benchmarking RDF archives
are needed to evaluate its storage space efficiency and the performance of different retrieval operations. To this end, we provide
theoretical foundations on the design of data and queries to evaluate emerging RDF archiving systems. Then, we instantiate
these foundations along a concrete set of queries on the basis of a real-world evolving dataset. Finally, we perform an empirical
evaluation of various current archiving techniques and querying strategies on this data that is meant to serve as a baseline of
future developments on querying archives of evolving RDF data.
Original languageEnglish
Pages (from-to)247 - 291
JournalSemantic Web
Issue number2
Publication statusPublished - 2019

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102
  • 102001 Artificial intelligence
  • 502050 Business informatics
  • 102015 Information systems

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