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ONTOLOGY-DRIVEN CONSTRUCTION OF SEMANTIC BUSINESS INTELLIGENCE MODELS

机译:本体驱动的语义商务智能模型的构建

摘要

Techniques are described for modeling information from a data source. In one example, a method for modeling information from a data source includes identifying one or more lexical clues associated with each of one or more data item headings from the data source based on a set of lexical clue detection rules. The method further includes mapping each of one or more of the data item headings to one or more business concepts based on comparing the one or more identified lexical clues associated with each of one or more of the data item headings with a business ontology that comprises a description of the business concepts. The method further includes generating a semantic business intelligence model comprising one or more semantic associations between the one or more data item headings based on the mapping of the data item headings to the one or more of the business concepts.
机译:描述了用于对来自数据源的信息进行建模的技术。在一个示例中,一种用于对来自数据源的信息进行建模的方法包括:基于一组词汇线索检测规则,识别与来自数据源的一个或多个数据项标题中的每一个相关联的一个或多个词汇线索。该方法还包括基于将与一个或多个数据项标题中的每一个相关联的一个或多个识别的词汇线索与包括以下项的业务本体进行比较,将一个或多个数据项标题中的每一个映射到一个或多个业务概念。业务概念的描述。该方法进一步包括基于数据项标题到一个或多个商业概念的映射,生成包括在一个或多个数据项标题之间的一个或多个语义关联的语义商业智能模型。

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