Abstract
With the increase of Knowledge Graphs available on the Web came the need of characterising them, adding for example provenance information. To facilitate adding statement-level metadata, an RDF syntax extension has recently been proposed to the Semantic Web community: RDF*. In this article, we examine the current coverage of RDF* by SPARQL engines. We identify a few issues arising even when performing simple operations such as counting the number of statements. We raise awareness on these issues and derive new research directions for the community.
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Notes
- 1.
As of March 2019, the LOD-cloud gathers more than 1 200 datasets sharing more than 16 000 links. https://lod-cloud.net/.
- 2.
The W3C Workshop on Web Standardization for Graph Data (2019) has set a direction to bridge the Semantic Web and Property Graph communities together indicating RDF* as a viable option. https://www.w3.org/Data/events/data-ws-2019/index.html.
- 3.
Stardog version 7.1.2 https://www.stardog.com/.
- 4.
Blazegraph version 2.1.5 https://blazegraph.com/.
- 5.
ExecuteSPARQLStar version 0.0.1 https://github.com/RDFstar/RDFstarTools.
- 6.
More details are available from: https://github.com/dgraux/RDFStarObservatory.
- 7.
Similarly to Blazegraph, instead of using “Select *”, users need to specify all the variables in the Select clause.
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Acknowledgment
This research was conducted with the financial support of the European Regional Development Fund and the European Unions Horizon 2020 research and innovation programme under the EDGE Marie Skłodowska-Curie grant agreement No. 713567 at the ADAPT SFI Research Centre at Trinity College Dublin. The ADAPT SFI Centre for Digital Media Technology is funded by Science Foundation Ireland through the SFI Research Centres Programme and is co-funded under the European Regional Development Fund (ERDF) Grant # 13/RC/2106.
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Orlandi, F., Graux, D., O’Sullivan, D. (2020). How Many Stars Do You See in This Constellation?. In: Harth, A., et al. The Semantic Web: ESWC 2020 Satellite Events. ESWC 2020. Lecture Notes in Computer Science(), vol 12124. Springer, Cham. https://doi.org/10.1007/978-3-030-62327-2_30
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