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A graph-based approach for extracting terminological properties from information sources with heterogeneous formats

机译:基于图的方法从异构格式的信息源中提取术语属性

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The problem of handling both the integration and the cooperation of a large number of information sources characterised by heterogeneous representation formats is a challenging issue. In this context, a central role can be played by the knowledge about the semantic relationships holding between concepts belonging to different information sources (intersource properties). In this paper, we propose a semiautomatic approach for extracting two kinds of intersource properties, namely synonymies and homonymies, from heterogeneous information sources. In order to carry out the extraction task, we introduce both a conceptual model, for representing involved sources, and a metrics, for measuring the strength of the semantic relationships holding among concepts represented within the same source.
机译:处理以异质表示格式为特征的大量信息源的集成和协作的问题是一个具有挑战性的问题。在这种情况下,关于属于不同信息源(资源间属性)的概念之间的语义关系的知识可以发挥中心作用。在本文中,我们提出了一种半自动方法,用于从异构信息源中提取两种中间源属性,即同义词和同名。为了执行提取任务,我们引入了一个概念模型(用于表示所涉及的源)和度量(用于度量在同一源内表示的概念之间保持的语义关系的强度)两者。

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