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Representing Natural Language Sentences in RDF Graph and Discourse Representation for Ontology Mapping

机译：在RDF图中表示自然语言句子和本体映射的话语表示

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English language has its own word order, which determines the way of ordering words in a sentence. This research work gives a novel framework for database to ontology mapping for explicit description of domain knowledge. It presents the manner by which sentences in English language can be represented as knowledge patterns by means of RDF (Resource Description Framework) graphs. Knowledge patterns are general patterns of knowledge that can be used in any knowledge base or ontology. Knowledge pattern is a logical design pattern which defines a formal expression that can be exemplified and morphed in order to solve a domain modelling problem. Knowledge patterns are proposed by ontology engineers. When using them, the general symbols in the pattern are renamed to special symbols from the modelled domain. The RDF graph language is used to represent knowledge pattern contained English sentences. The basic RDF model can be processed even in the absence of detailed information (schema) on the semantics. RDF model has the important property of being modular i.e. the union of knowledge represented as directed graphs. The paper also provides examples of usage of knowledge patterns.
机译：英语有自己的单词顺序，它决定了句子中单词排序的方式。这项研究工作为从数据库到本体的映射提供了一个新颖的框架，以明确描述领域知识。它介绍了通过RDF（资源描述框架）图将英语句子表示为知识模式的方式。知识模式是可以在任何知识库或本体中使用的知识的一般模式。知识模式是一种逻辑设计模式，它定义了可以被举例说明和变形的形式表达，以解决领域建模问题。知识模式是由本体工程师提出的。使用它们时，模式中的常规符号将从建模域重命名为特殊符号。 RDF图语言用于表示包含英语句子的知识模式。即使没有关于语义的详细信息（模式），也可以处理基本的RDF模型。 RDF模型具有模块化的重要属性，即以有向图表示的知识联盟。本文还提供了使用知识模式的示例。

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