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Dataset Open Access

RDF Reification Benchmark using the Biomedical Knowledge Repository (BKR)

Orlandi, Fabrizio; Graux, Damien; O'Sullivan, Declan

This resource can be used for benchmarking different RDF modelling solutions for statement-level metadata, namely: 

- RDF Reification,

- Singleton Property,

- RDF* (RDF star). 

 

The dataset contains 3 different versions of the Biomedical Knowledge Repository (BKR) knowledge graph, as described in:

Vinh Nguyen, Olivier Bodenreider, Amit Sheth. "Don't Like RDF Reification? Making Statements About Statements Using Singleton Property" WWW 2014, doi: 10.1145/2566486.2567973.

and,

Satya S. Sahoo, Olivier Bodenreider, Pascal Hitzler, Amit Sheth and Krishnaprasad Thirunarayan. "Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data" in Sci Stat Database Manag. 2010; 6187: 461–470. doi: 10.1007/978-3-642-13818-8_32

 

The 3 knowledge graphs dumps are packaged as Gzipped RDF files in Turtle (and Turtle*) syntax. 

BKR-R-fullKGdump.ttl.gz for the Reification method,

BKR-S-fullKGdump.ttl.gz for the Singleton method,

BKR-star-fullKGdump.ttls.gz for the RDF* method.

 

 

 

Files (2.7 GB)
Name Size
BKR-R-fullKGdump.ttl.gz
md5:22b2a5aedde486826507f1a2edc69bf4
453.8 MB Download
BKR-S-fullKGdump.ttl.gz
md5:ad6a65e7b84e22f1d9c6199b09d24de8
1.9 GB Download
BKR-star-fullKGdump.ttls.gz
md5:eb91d948b94c3d7607c4f07650433e16
360.8 MB Download
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