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A Building Method of XML Knowledge Base Using Domain Ontology

机译:基于领域本体的XML知识库构建方法

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In order to make best use of massive oilfield XML data which is heterogeneous and distributed, we propose a semantic integration method of building XML Knowledge Base named XML-WeKB. In this method, XML schema is first mapped to a local-Ontology by series of extraction rules, and then XML data is converted into local-Ontology instances to fill XML-WeKB by executing a recursive transformation algorithm. Based on XML-WeKB, semantic query oriented global-Ontology can be achieved by means of building ontology mappings between global-Ontology and local-Ontology. As a data integration solution, it can integrate many XML files flexibly by creating respective mappings and transformation algorithms. Finally, we implement a prototype system which can effectively accomplish semantic interaction between different XML data and provide sufficient data support for decision making in oilfield production.
机译:为了充分利用异构的,分布的海量大型油田XML数据,我们提出了一种构建XML知识库的语义集成方法,称为XML-WeKB。在这种方法中,首先通过一系列提取规则将XML模式映射到local-Ontology,然后通过执行递归转换算法将XML数据转换为local-Ontology实例以填充XML-WeKB。基于XML-WeKB,可以通过在global-Ontology和local-Ontology之间建立本体映射来实现面向语义查询的global-Ontology。作为数据集成解决方案,它可以通过创建各自的映射和转换算法来灵活地集成许多XML文件。最后,我们实现了一个原型系统,该系统可以有效地完成不同XML数据之间的语义交互,并为油田生产中的决策提供足够的数据支持。

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