Benchmarking Graph Database Backends—What Works Well with Wikidata?

Reifying RDF: What Works Well With Wikidata?

In this paper, we compare various options for reifying RDF triples. We are motivated by the goal of representing Wikidata as RDF, which would allow legacy Semantic Web languages, techniques and tools – for example, SPARQL engines – to be used for Wikidata. However, Wikidata annotates statements with qualifiers and references, which require some notion of reification to model in RDF. We thus inv...

Benchmarking Graph Databases with Cyclone Benchmark

Recent years have seen advances in graph databases and graph database management systems (GDBMS). In a typical graph data model, a node represents an entity and an edge represents a relationship between two nodes. Nodes and edges typically have associated properties (attributes) and are assigned types for fast query response times. In the application domains where relationships are of importanc...

Relational Database with Sql and Graph Database

This paper represents the study of various theory based on database model. In this paper a study of various papers is done, and in the reviewed paper graph database and SQL is done. This huge repository of unstructured data has resulted in making the data search and knowledge extraction, a very cumbersome task if one continues using the legacy relational database.

What Works Well Tells Us What Works Better

Querying Wikidata: Comparing SPARQL, Relational and Graph Databases

In this paper, we experimentally compare the e ciency of various database engines for the purposes of querying the Wikidata knowledge-base, which can be conceptualised as a directed edge-labelled graph where edges can be annotated with meta-information called qualiers. We take two popular SPARQL databases (Virtuoso, Blazegraph), a popular relational database (PostgreSQL), and a popular graph da...