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Titlebook: Rule Technologies. Research, Tools, and Applications; 10th International S Jose Julio Alferes,Leopoldo Bertossi,Dumitru Roman Conference pr

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The RuleML Knowledge-Interoperation HubleML.PSOA/PS generator and PSOA/PS.AST parser), as well as importers and exporters (the importer from Dexlog to Naf Datalog RuleML and the exporter from FOL RuleML languages to TPTP). An N3-PSOA-Flora knowledge-interoperation use case is introduced for illustration.
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Minimal Objectification and Maximal Unnesting in PSOA RuleML optional OIDs, the transformation is developed from static to dynamic objectification, and the correctness of the realization is proved. For (2), the unnesting transformation is defined to decompose nested atomic formulas into equivalent conjunctions.
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Programming in Picat, and more suitable than functional languages (such as Haskell and F#) and scripting languages (such as Python and Ruby) for symbolic computations. This article provides a quick introduction to Picat using examples from Google Code Jam (GCJ).
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Business Rules Uncertainty Management with Probabilistic Relational Modelsolution has a coupling approach with Probabilistic Relational Models (PRMs) and facilitates the inter-operability, hence, the separation between business and probabilistic logic. We apply our approach to an existing BRMS and discuss implications of the knowledge base dynamicity on the probabilistic inference.
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0302-9743 d in New York, NY, USA during July 2016..The 19 full papers, 1 short paper, 2 keynoteabstracts, 2 invited tutorial papers, 1 invited standard paper, presented were carefully reviewed and selected from 36 submissions. .RuleML is a leading conference aiming to build bridges between academia and indust
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