摘要
随着本体应用的深入,从单数据源中提取的轻型本体已不能满足应用需求。通过合并不同数据源创建的子本体可解决此问题,但需要进行跨本体的概念相似度计算。同时要求领域专家的参与,代价较大。引入形式化概念分析(formal conceptanalysis,FCA)相关理论,提出一种基于FCA技术的多数据源的领域本体创建方法;该方法克服了以往方法中数据源的单一化、自动化水平低、创建方法复杂等不足。实例分析表明:该方法增加了本体的概念的丰富性和实用价值,提高了创建的效率。
As the Domain Ontology further applied，the Ontology which extracted from single data source have not need the requirement. Though the method of Ontology merging can resolve this problem, they need to carry out a mass of Cross-ontology concept similarity evaluation and ask for the domain experts to take apart in the process. So the cost is big and efficiency is lower. This paper introduces formal concept analysis（FCA）correlation theory and a new method for multi data source domain ontology construction based on FCA is proposed. It can overcome the shortcomings which include singleness data source, low automatic level and complex construction method.The proposed method has a good rich concept and utility value and can improve the efficiency.
出处
《科学技术与工程》
北大核心
2013年第5期1346-1349,1358,共5页
Science Technology and Engineering
基金
河南省教育厅自然科学研究计划项目(2011C20019)资助
关键词
本体
数据源
相似度
形式化概念分析
Ontology
Data Source
similarity
formal concept analysis（FCA）
