Quotation Fernandez Garcia, Javier David, Umbrich, Jürgen, Polleres, Axel, Knuth, Magnus. 2019. Evaluating Query and Storage Strategies for RDF Archives. Semantic Web. 10 (2), 247-291.


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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 that is meant to serve as a baseline of future developments on querying archives of evolving RDF data.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Semantic Web
WU-Journal-Rating new INF-A
Language English
Title Evaluating Query and Storage Strategies for RDF Archives
Volume 10
Number 2
Year 2019
Page from 247
Page to 291
Reviewed? Y
URL http://www.semantic-web-journal.net/content/evaluating-query-and-storage-strategies-rdf-archives-0
DOI http://dx.doi.org/10.3233/SW-180309
Open Access Y
Open Access Link http://epub.wu.ac.at/6488/

Associations

Projects
Querying Archives of Dynamic Linked Open Data
SPECIAL - Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance
Cyber-Physical Social Systems for City-wide Infrastructures
People
Fernandez Garcia, Javier David (Details)
Umbrich, Jürgen (Former researcher)
Polleres, Axel (Details)
External
Knuth, Magnus ( Hasso Plattner Institute, University of Potsdam, Potsdam, Germany, Germany)
Organization
Applied Information Technology (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1108 Informatics (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
5367 Management information systems (Details)
5937 Information systems (Details)
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