Proceedings of the Joint EDBT/ICDT 2013 Workshops 2013
DOI: 10.1145/2457317.2457353
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On implementing provenance-aware regular path queries with relational query engines

Abstract: Use of graphs is growing rapidly in social networks, semantic web, biological databases, scientific workflow provenance, and other areas. Regular Path Queries (RPQs) can be seen as a core graph query language to answer pattern-based reachability queries. Unfortunately, the number of freely available systems for querying graphs using RPQs is rather limited, and available implementations do not provide direct support for a number of desirable variants of RPQs, e.g., to return those edges that are contained in so… Show more

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Cited by 31 publications
(12 citation statements)
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“…The preliminary experimental results show that our algorithms can answer the provenance-aware RPQs on large-scale real-world RDF graphs effectively and efficiently. We will perform an experimental comparison between our approach and [1] in the future full version of this paper.…”
Section: Resultsmentioning
confidence: 99%
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“…The preliminary experimental results show that our algorithms can answer the provenance-aware RPQs on large-scale real-world RDF graphs effectively and efficiently. We will perform an experimental comparison between our approach and [1] in the future full version of this paper.…”
Section: Resultsmentioning
confidence: 99%
“…To the best of our knowledge, Dey et al [1] have been the first to investigate the provenance-aware semantics of RPQs. Their work resorted to translating provenance-aware RPQs into Datalog or SQL implementations.…”
Section: Introductionmentioning
confidence: 99%
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“…In the Semantic Web context, much research has gone towards "data warehousing" approaches, where all known available data is collected in advance and pre-processed to optimize local query processing. In this approach, the research on RPQ query processing focuses on optimizing the local data storage and indexing [106,116].…”
Section: Overviewmentioning
confidence: 99%
“…RPQs can be seen as a core graph query language to answer pattern-based reachability queries (Dey et al, 2013). However, existing systems for evaluating RPQs are restricted either in the type of the graph (e.g., only trees), the type of regular expressions (e.g., only single steps), and/or the size of the graphs they can handle (Koschmieder & Leser, 2012).…”
Section: Related Workmentioning
confidence: 99%