Quotation Fernandez Garcia, Javier David, Umbrich, Jürgen, Knuth, Magnus, Polleres, Axel. 2016. Evaluating Query and Storage Strategies for RDF Archives. In 12th International Conference on Semantic Systems (SEMANTICS), Hrsg. SEMANTiCS 2016, 41-48. Germany: ACM Press.


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Abstract

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. Our work comprises – to the best of our knowledge – the first benchmark for querying evolving RDF data archives.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Evaluating Query and Storage Strategies for RDF Archives
Title of whole publication 12th International Conference on Semantic Systems (SEMANTICS)
Editor SEMANTiCS 2016
Page from 41
Page to 48
Location Germany
Publisher ACM Press
Year 2016
Open Access Y
Open Access Link http://www.semantic-web-journal.net/system/files/swj1608.pdf

Associations

Projects
Querying Archives of Dynamic Linked Open Data
People
Fernandez Garcia, Javier David (Details)
Umbrich, Jürgen (Former researcher)
Polleres, Axel (Details)
External
Knuth, Magnus (Hasso Plattner Institute, University Potsdam, Germany)
Organization
Applied Information Technology (Details)
Research Institute for Computational Methods FI (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1103 Analysis (Details)
1109 Information and data processing (Details)
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