0


结合DL推理程序和规则引擎来改进基于entailment的OWL推理

Combining a DL Reasoner and a Rule Engine for Improving Entailment-Based OWL Reasoning
课程网址: http://videolectures.net/iswc08_meditskos_cdlrre/  
主讲教师: Georgios Meditskos
开课单位: 萨洛尼卡大学
开课时间: 2008-11-24
课程语种: 英语
中文简介:
我们引入了混合DL和基于entailment (DLE) OWL推理的概念，定义了一个框架，其灵感来自用于集成规则和本体的混合和同构范例。其思想是结合DL算法的TBox推理能力和规则范式在大型ABoxes上的可伸缩性。为此，我们定义了一个框架，该框架使用DL推理器对本体的TBox(混合类)进行推理，并使用规则引擎应用由TBox查询到DL推理器生成的特定于领域的abox相关继承(类似于均基因)。DLE框架从两个方面增强了基于entailment的OWL推理范式。首先，它使用高效的DL算法将TBox语义的操作从任何不完整的基于entailment的方法中分离出来。其次，与传统的基于entailine的方法相比，由于entail小调的复杂性和领域特异性，它实现了对abox相关ent小调的更快应用和更有效的内存使用。
课程简介: We introduce the notion of the mixed DL and entailment-based (DLE) OWL reasoning, defining a framework inspired from the hybrid and homogeneous paradigms for integration of rules and ontologies. The idea is to combine the TBox inferencing capabilities of the DL algorithms and the scalability of the rule paradigm over large ABoxes. Towards this end, we define a framework that uses a DL reasoner to reason over the TBox of the ontology (hybrid-like) and a rule engine to apply a domain-specific version of ABox-related entailments (homogeneous-like) that are generated by TBox queries to the DL reasoner. The DLE framework enhances the entailment-based OWL reasoning paradigm in two directions. Firstly, it disengages the manipulation of the TBox semantics from any incomplete entailment-based approach, using the efficient DL algorithms. Secondly, it achieves faster application of the ABox-related entailments and efficient memory usage, comparing it to the conventional entailment-based approaches, due to the low complexity and the domain-specific nature of the entailments.
关 键 词: OWL推理; 集成规则; 同构范例; DL算法; 相关继承; 均基因; 计算机技术
课程来源: 视频讲座网
最后编审: 2019-05-26：cwx
阅读次数: 48

纠错/补充/评论/留言
评论/留言 纠错/补充
验证算术题： 7 + 0 =