一种本体学习中分类关系提取方法的研究  

A Study on Taxonomic Relation Extraction from Ontology Learning

作　　者：贾秀玲[1] 文敦伟[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《计算机技术与发展》2007年第10期31-33,36,共4页Computer Technology and Development

摘　　要：本体学习技术是利用本体工程技术和机器学习技术等众多学科技术来实现本体的自动半自动构建,可解决本体手工构建的不足。根据本体学习目前的研究现状,提出了一种从文本中半自动获取本体中分类关系的实现,讨论了本体学习中概念抽取和概念间分类关系抽取等关键技术。实现了本体中分类关系提取,对于非分类关系的提取还有待研究。Ontology learning aims at constructing ontology （semi）automatically by integrating a multitude of disciplines such as ontology engineering and machine learning. This can lighten the burden of the manual construction of ontology. This paper introduces a framework of extracting the taxonomic relation semi - automatically for ontology learning from text. The key technologies of ontology learning such as domain concepts extraction and taxonomic relation extraction are discussed. The taxonomic relation of the ontology is realized, but the non - taxonomy relation need to be researched.

关 键 词：本体 本体学习 概念 分类关系 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]