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Foundations to Query Labeled Property Graphs using SPARQL
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1741-2090
2019 (English)In: Joint Proceedings of the 1st International Workshop On Semantics For Transport and the 1st International Workshop on Approaches for Making Data Interoperable co-located with 15th Semantics Conference (SEMANTiCS 2019), Karlsruhe, Germany, September 9, 2019, 2019Conference paper, Published paper (Refereed)
Abstract [en]

The RDF*/SPARQL* approach extends RDF and SPARQL with means to capture and to query annotations of RDF triples, which is a feature that is natively available in graph databases modeled as Labeled Property Graphs (LPGs). Hence, the approach presents a step towards making the different graph database models interoperable. This paper takes this step further by providing a solid theoretical foundation for converting LPGs into RDF* data and for querying LPGs using the query language SPARQL*. Regarding the latter, the contributions in this paper consider approaches that materialize the RDF* representation of the LPGs into an RDF*-enabled triplestore as well as approaches in which the queried LPGs may reside in an LPG-specific database system.

Place, publisher, year, edition, pages
2019.
Series
CEUR Workshop Proceedings ; 2447
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-168654OAI: oai:DiVA.org:liu-168654DiVA, id: diva2:1461704
Conference
1st International Workshop on Approaches for Making Data Interoperable, co-located with 15th Semantics Conference (SEMANTiCS 2019)
Projects
CENIIT project no. 17.05Available from: 2020-08-27 Created: 2020-08-27 Last updated: 2021-09-16

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Hartig, Olaf

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Citation style
  • apa
  • ieee
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  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf