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OntoEnrich: A Platform for the Lexical Analysis of Ontologies

机译:OntoEnrich:本体词法分析平台

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The content of the labels in ontologies is usually considered hidden semantics, because the domain knowledge of such labels is not available as logical axioms in the ontology. The use of systematic naming conventions as best practice for the design of the content of the labels generates labels with structural regularities, namely, lexical regularities. The structure and content of such regularities can help ontology engineers to increase the amount of machine-friendly content in ontologies, that is, to increase the number of logical axioms. In this paper we present a web platform based on the OntoEnrich framework, which detects and analyzes lexical regularities, providing a series of useful insights about the structure and content of the labels, which can be helpful for the study of the engineering of the ontologies and their axiomatic enrichment. Here, we describe its software architecture, and how it can be used for analyzing the labels of ontologies, which will be illustrated with some examples from our research studies.
机译:本体中标签的内容通常被视为隐藏语义,因为此类标签的领域知识无法作为本体中的逻辑公理获得。使用系统命名约定作为设计标签内容的最佳做法,将生成具有结构规则(即词汇规则)的标签。这样的规则的结构和内容可以帮助本体工程师增加本体中机器友好内容的数量,即增加逻辑公理的数量。在本文中,我们提出了一个基于OntoEnrich框架的Web平台,该平台可以检测和分析词法规则性,提供有关标签的结构和内容的一系列有用见解,这将有助于研究本体和他们的公理化丰富。在这里,我们将描述其软件体系结构,以及如何将其用于分析本体标记,并将通过我们的研究示例来说明。

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