摘要
提出了一种基于形式概念分析的渐进式情感本体学习的算法。该算法通过动态交叉添加对象和属性来生成概念格,从而从概念格当中抽取情感本体,最终实现情感本体的学习过程。给出了算法的描述,并结合实例说明了本体学习过程。
This paper suggests a different alternative algorithm of emotion ontology lemming, which is FCA-based. It provides an approach for constructing concept lattice by appending new objects and attributes into an existing context of the lattice incrementally. Then emotion ontology can be extracted from the final concept lattice, which realizes the process of ontology learning. This paper describes the outline of algorithm and demonstrates the ontology learning process by an example.
出处
《电脑开发与应用》
2010年第2期4-5,11,共3页
Computer Development & Applications
基金
国家自然科学基金项目(60970059)
山西省自然科学基金项目(2007011050)
山西省青年科学基金项目(2009021017-3)
