结合结构化和基于实例的本体相似度映射Web目录

Konstantin Todorov
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引用次数: 5

摘要

本体是描述数据语义的知识体,广泛应用于支持各方之间的知识交换。然而,不同的人或组织不太可能在某个感兴趣的领域采用相同的本体,这主要是由于本体开发的分散性。本文提出了一个映射层次本体的过程,其中填充了从适当分类的文本文档中获取的实例。它结合了结构化和基于实例的方法,以便在两个输入本体之间产生概念到概念的映射断言。它可以成功地应用于查找两个目录的元素之间的对应关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining Structural and Instance-Based Ontology Similarities for Mapping Web Directories
Ontologies are knowledge bodies describing the semantics of data and are broadly applied in supporting knowledge exchange between different parties. However, the adoption of the same ontology over a certain domain of interest by different people or organizations is unlikely, mainly due to the decentralized nature of ontology development. The paper presents a procedure for mapping hierarchical ontologies, populated with instances taken from properly classified text documents. It combines a structural and instance-based approaches in order to yield concept-to- concept mapping assertions between two input ontologies. It can be successfully applied to finding correspondences between the elements of two directories.
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