基于FCA的对象与属性交叉渐进的情感本体学习  

Emotion Ontology Learning based on Alternative Object and Attribute in FCA

作　　者：郭慧慧[1] 陈俊杰[1] 赵涓涓[1] 

机构地区：[1]太原理工大学计算机与软件学院,太原030024

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)

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.

关 键 词：本体 本体学习 形式概念分析 概念格 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]