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Processing RIF and OWL2RL within DLVHEX

机译:在DLVEX中处理RIF和OWL2RL

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摘要

We present an extension of the DLVHEX system to support RIF-Core, a dialect of W3C's Rule Interchange Format (RIF), as well as combinations of RIF-Core and OWL2RL ontologies. DLVHEX is a plugin system on top of DLV, a disjunctive Datalog engine which enables higher-order and external atoms, as well as input rewriting capabilities, which are provided as plugins and enable DLVHEX to bidirectionally exchange data with external knowledge bases and consuming input in different Semantic Web languages. In fact, there already exist plugins for languages such as RDF and SPARQL. Our new plugin facilitates consumption and processing of RIF rule sets, as well as OWL2RL reasoning by a 2-step-reduction to DLVHEX via embedding in RIF-Core. The current version implements the translation from OWL2RL to RIF by a static rule set [12] and supports the RIF built-ins mandatory for this reduction trough external atoms in DLVHEX. For the future we plan to switch to a dynamic approach for RIF embedding of OWL2RL [2] and extend the RIF reasoning capabilities to more features of RIF-BLD. We provide a description of our current system, its current development status as well as an illustrative example, and conclude future plans to complete the Semantic Web library of plugins for DLVHEX.
机译:我们展示了DLVEX系统的扩展,以支持RIF-Core,一种W3C规则交换格式(RIF)的方言,以及RIF-Core和OWL2RL Intolologies的组合。 DLVHEX是DLV顶部的插件系统,该插件系统是一个位于DLV的DLV,它能够实现更高阶和外部原子,以及输入重写能力,其作为插件提供并使DLVHEX与外部知识库和消耗输入的双向交换数据。不同的语义Web语言。实际上,已经存在了RDF和SPARQL等语言的插件。我们的新插件促进了RIF规则集的消耗和处理,以及通过在RIF-Core中嵌入DLVHEX的2步减少的OWL2RL推理。当前版本通过静态规则集[12]实现从OWL2RL到RIF的转换,并支持在DLVHEX中的这种减少槽外部原子的RIF内置强制性。对于未来,我们计划切换到RIF嵌入OWL2RL [2]的动态方法,并将RIF推理能力扩展到RIF-BLD的更多功能。我们提供了对我们当前系统的描述,其当前的开发状态以及说明性示例,并结束了未来计划以完成DLVHEX的插件语义Web库。

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