Inference is the derivation of new knowledge from existing knowledge and axioms.Facts change all the time and the amount of resources it would take to manually manage updates or rerun the inferencing process would be overwhelming without this capability. Users realize improved query speed, data availability and accurate analysis. GraphDB ™ is the only graph database that supports updates to inferred facts automatically.
GraphDB supports inference out of the box and provides updates to inferred facts automatically. The system can be configured via “rule-sets” – sets of axiomatic triples and entailment rules – that determine the applied semantics. We provide full standard-compliant reasoning for RDFS, OWL-Horst, OWL2-RL and OWL2-QL as well as support for custom reasoning and performance optimized rule-sets via .pie files.
Inference is important as it uncovers the full power of data modelled with RDF(S) and ontologies. GraphDB will use existing data and the rules to infer more facts and thus produce an richer data set than the one you started with. Inference is one of the main advantages over relational databases.
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