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- W2343509073 abstract "Datalog(^pm ) is a family of ontology languages that combine good computational properties with high expressive power. Datalog(^pm ) languages are provably able to capture many relevant Semantic Web languages. In this paper we consider the class of weakly-sticky (WS) Datalog(^pm ) programs, which allow for certain useful forms of joins in rule bodies as well as extending the well-known class of weakly-acyclic TGDs. So far, only nondeterministic algorithms were known for answering queries on WS Datalog(^pm ) programs. We present novel deterministic query answering algorithms under WS Datalog(^pm ). In particular, we propose: (1) a bottom-up grounding algorithm based on a query-driven chase, and (2) a hybrid approach based on transforming a WS program into a so-called sticky one, for which query rewriting techniques are known. We discuss how our algorithms can be optimized and effectively applied for query answering in real-world scenarios." @default.
- W2343509073 created "2016-06-24" @default.
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- W2343509073 date "2016-01-01" @default.
- W2343509073 modified "2023-10-10" @default.
- W2343509073 title "A Hybrid Approach to Query Answering Under Expressive Datalog $$^pm $$" @default.
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- W2343509073 doi "https://doi.org/10.1007/978-3-319-45276-0_11" @default.
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