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Titlebook: Rules and Reasoning; Third International Paul Fodor,Marco Montali,Dumitru Roman Conference proceedings 2019 Springer Nature Switzerland AG

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楼主: minutia
发表于 2025-3-30 10:16:00 | 显示全部楼层
Efficient TBox Reasoning with Value Restrictions—Introducing the , Reasonermption in the presence of general TBoxes is tractable, this is no the case for .. We present a novel algorithm for solving the .-hard subsumption problem in . w.r.t. general TBoxes, which is based on the computation of so-called .. To build a such a model our algorithm treats TBox axioms as rules th
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Query Rewriting for DL Ontologies Under the ICAR SemanticsCAR semantics and is based on a rewriting algorithm that can be applied over arbitrary DLs. Since the problem of ICAR-answering is known to be intractable for DLs other than DL-Lite, our algorithm may not terminate. However, we were able to describe sufficient termination conditions and to show that
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发表于 2025-3-31 00:24:42 | 显示全部楼层
Adding Constraint Tables to the DMN Standard: Preliminary Resultss to construct these models themselves, without help from IT staff. To this end, it combines simple decision tables with a clear visual notation. However, for real-life applications, DMN sometimes proves too restrictive. In this paper, we develop an extension to DMN’s decision table notation, which
发表于 2025-3-31 01:13:35 | 显示全部楼层
Detecting “Slippery Slope” and Other Argumentative Stances of Opposition Using Tree Kernels in Monole proposed approach shows that Tree Kernels can be used in combination with traditional textual vectorization to discriminate between different stances of opposition without the need of extracting highly engineered features. This can be useful in many Argument Mining sub-tasks. In particular, this w
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发表于 2025-3-31 11:51:47 | 显示全部楼层
Querying Key-Value Stores Under Single-Key Constraints: Rewriting and Parallelizationh a high-level view over a collection of legacy databases. We focus on the rewriting-based approach for data access, which is the most suitable for the key-value store setting because of the limited expressivity of the data model employed by such systems. Our main contribution is a parallel techniqu
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