一种基于图的方法,用于提取XML文档元素的术语属性

L. Palopoli, G. Terracina, D. Ursino
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引用次数: 37

摘要

XML正迅速成为通过Web进行信息交换的标准。使用XML表示和交换数据的Web提供者和应用程序以一种容易实现互操作性的方式提供信息。但是,为了保证XML文档的交换和信息提供者之间的互操作性,通常需要挑出与不同XML文档的概念相关的语义相似性属性。本文提出了一种提取同义词和同义词的技术,对这个框架做出了贡献。派生技术基于一个丰富的概念模型(称为SDR-Network),该模型用于表示XML文档中表达的概念以及它们之间的语义关系。
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A graph-based approach for extracting terminological properties of elements of XML documents
XML is rapidly becoming a standard for information exchange over the Web. Web providers and applications using XML for representing and exchanging their data make their information available in such a way that interoperability can be easily reached. However in order to guarantee both the exchange of XML documents and the interoperability between information providers, it is often needed to single out semantic similarity properties relating concepts of different XML documents. This paper gives a contribution to this framework by proposing a technique for extracting synonymies and homonymies. The derivation technique is based on a rich conceptual model (called SDR-Network) which is used to represent concepts expressed in XML documents as well as the semantic relationships holding among them.
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