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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.
Biomedical Knowledge Repository, benchmark, Singleton, Knowledge Graph, RDF*, Reification, RDF
Biomedical Knowledge Repository, benchmark, Singleton, Knowledge Graph, RDF*, Reification, RDF
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 12 |

Views provided by UsageCounts