摘要
本体学习是自动或半自动构建本体的一系列方法和技术。本文概述了本体学习的研究状况。描述了本体学习的框架结构,总结了本体学习的技术、方法与算法,提出了当前本体学习研究的问题与难题以及进一步研究方向。
Ontology Learning is the sot of methods and techniques used for building an ontology from scratch, enriching, or adapting an existing ontology in a somi-antomatic fashion using several sources. This paper outlines the study of ontology learning, describes the frame, architecture, technologies, approaches and algorithm of ontology learning. It presents the problem, difficulty and future research of ontology leaming.
出处
《情报学报》
CSSCI
北大核心
2006年第6期657-665,共9页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金资助项目(编号:03CTQ003).
关键词
本体学习
本体构建
自动抽取
概念抽取
概念聚类
ontology learning, ontology construction, automatic extraction, concept extraction, conceptual clustering.