PAGOdA: Pay-As-You-Go query answering using a datalog reasoner
Answering conjunctive queries over ontology-enriched datasets is a core reasoning task for many applications. Query answering is, however, computationally very expensive, which has led to the development of query answering procedures that sacrifice either expressive power of the ontology language, o...
Main Authors: | Zhou, Y, Cuenca Grau, B, Nenov, Y, Kaminski, M, Horrocks, I |
---|---|
Format: | Journal article |
Udgivet: |
AI Access Foundation
2015
|
Lignende værker
-
PAGOdA: Pay-as-you-go ontology query answering using a datalog reasoner
af: Zhou, Y
Udgivet: (2015) -
Pay−as−you−go ontology query answering using a datalog reasoner
af: Zhou, Y, et al.
Udgivet: (2014) -
Pay-as-you-go OWL query answering using a triple store
af: Zhou, Y, et al.
Udgivet: (2014) -
Datalog rewritability of disjunctive datalog programs and its applications to ontology reasoning
af: Kaminski, M, et al.
Udgivet: (2014) -
Datalog Rewritability of Disjunctive Datalog Programs and its Applications to Ontology Reasoning
af: Kaminski, M, et al.
Udgivet: (2014)