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AssigneeAccenture Global Solutions Limited
InventorsEda Bayram, Adrianna Janik
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This disclosure relates generally to the technical field of knowledge graphs, and in particular to automatic and intelligent link prediction. The proposed circuitry and system operate semantic analytics on an input knowledge graph to extract its ontology and derive a set of semantic rules. The extracted ontology and rules are then used for an automatic candidate generation strategy based on an input query for link prediction by filtering down from possible candidate triples to a reduced set of semantically plausible candidates. The semantically plausible candidate triples are then evaluated by a link prediction circuitry trained based on machine learning techniques. As such, the various disclosed implementations provide a refinement of the hypothesis triple set returned by the link prediction circuitry towards semantical plausibility, thereby reducing if not eliminating hallucinations (false hypotheses) in link prediction and at the same time improving practicality of link inference and testing.
A computer-implemented method for predicting unknown triples in an input knowledge graph, comprising:
A system for predicting unknown triples in a knowledge graph, the system comprising a memory for storing instructions, and a processor in communication with the memory, wherein the processor, when executing the instructions, is configured to:
A non-transitory computer-readable medium including instructions configured to be executed by a processor, wherein the instructions are adapted to cause the processor to predict unknown triples in an input knowledge graph by:
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