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...
| Автори: | , , , , |
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| Формат: | Journal article |
| Опубліковано: |
AI Access Foundation
2015
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