Technique to support sound and complete query answering over knowledge graphs under Datalog rules with existential quantification and equalities. ChaseGoal outperforms by several orders of magnitude in terms of runtime and memory query answering under the commercial engine RDFox, making the difference between answering a query in a few seconds or not being able to process the query at all.
Repository
Goal Driven QA
Relevant publications
2018
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Goal-Driven Query Answering for Existential Rules With Equality
Michael Benedikt*, Boris Motik*, and Efthymia Tsamoura*
In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018
2017
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Benchmarking the Chase
Michael Benedikt*, George Konstantinidis*, Giansalvatore Mecca*, Boris Motik*, Paolo Papotti*, Donatello Santoro*, and Efthymia Tsamoura*
In Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS), Chicago, IL, USA, May 14-19, 2017