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Using Domain Ontologies for Classification and Semantic Interpretation of Documents

机译:使用域本体进行分类和文档语义解释

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The work presented in this paper addresses the problem of interpretation and semantic classification of documents. One of the issues faced by natural languages is related to the presence, in glossaries, of words with similar morphologies and different meanings. Our approach is based on the use of domain ontologies for nouns disambiguation. We begin our process with a global disambiguation, by linking the considered document to a semantic domain (represented by an ontology) which we select among several candidate ones. We define a candidate domain as any domain in which at least one significant word of the text can be considered and makes sense. We then perform a local disambiguation by using the selected ontology and finally build a semantic representation of the content of the document as a conceptual graph.
机译:本文提出的工作涉及文献的解释和语义分类问题。自然语言面临的问题之一与具有相似形态和不同含义的词汇表中的词汇相关。我们的方法是基于用于名词歧义的域本体的使用。通过将被调用的文档链接到语义域(由本体代表),我们开始了全局消歧的流程,我们选择了几个候选人中的一个语义域。我们将候选域定义为任何域,其中可以考虑至少一个文本的至少一个重要词语并有意义。然后,我们通过使用所选本体进行本地消歧,最后构建文档内容的语义表示作为概念图。

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