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Knowledge Represented Using RDF Semantic Network In The Concept of Semantic Web

机译:在语义网络概念中使用RDF语义网络表示的知识

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The RDF(S) model has been declared as the basic model to capture knowledge of the semantic web. It provides a common and flexible way to decompose composed knowledge to elementary statements, which can be represented by RDF triples or by RDF graph vectors. From the logical point of view, elements of knowledge can be expressed using at most binary predicates, which can be converted to RDF-triples or graph vectors. However, it is not able to capture implicit knowledge representable by logical formulas. This contribution shows how existing approaches (semantic networks and clausal form logic) can be combined together with RDF to obtain RDF-compatible system with ability to represent implicit knowledge and inference over knowledge base.
机译:RDF模型已被声明为捕获语义网络知识的基本模型。它提供了一种分解为基本语句的编组知识的共同且灵活的方法,其可以由RDF三元组或由RDF图形向量表示。从逻辑的角度来看,可以使用大多数二进制谓词来表达知识的元素,可以将其转换为RDF-Triples或图形向量。但是,它无法捕获逻辑公式可表示的隐式知识。此贡献显示现有的方法(语义网络和字幕形式逻辑)如何与RDF组合在一起,以获得RDF兼容系统,其能够在知识库上表示隐式知识和推论。

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