从叙词表学习本体

J. Nogueras-Iso, J. Lacasta, J. Teller, G. Falquet, J. Guyot
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引用次数: 2

摘要

本体学习是用于(半)自动化处理知识资源的方法和技术的术语,这些方法和技术有助于在本体构建过程中获取知识。本章重点介绍使用叙词表作为输入源的本体学习技术。由于术语定义的丰富性、术语之间先验关系的存在以及它们在图书馆上下文中的广泛使用所提供的一致性,同义词词典是创建领域本体最有前途的来源之一。除了回顾目前的技术状况外,本章还展示了如何将本体学习技术应用于城市领域,以开发领域本体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ontology Learning from Thesauri
Ontology learning is the term used to encompass methods and tech- niques employed for the (semi-)automatic processing of knowledge resources that facilitate the acquisition of knowledge during ontology construction. This chapter focuses on ontology learning techniques using thesauri as input sources. Thesauri are one of the most promising sources for the creation of domain ontologies thanks to the richness of term definitions, the existence of a priori relationships be- tween terms, and the consensus provided by their extensive use in the library con- text. Apart from reviewing the state of the art, this chapter shows how ontology learning techniques can be applied in the urban domain for the development of domain ontologies.
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