Automatic learning ontology from relational schema

Lu Yiqing, Liu Lu, Li Chen
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引用次数: 7

Abstract

In order to knowledge understanding and communication between different areas, knowledge sharing and coordination require a general conception framework of enterprise knowledge expression and communication, and form shared concept protocol in supply chain. There're numerous useful history data in existing database of enterprise, and actually relational database contains concept model of related areas. This paper proposes 11 mapping rules to convert relational database schema to ontology. Several actual cases are present to explain these mapping rules, and comparison to some other existing methods is also discussed at the end of this paper.
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从关系模式中自动学习本体
为了实现不同领域之间的知识理解和沟通,知识共享和协调需要一个企业知识表达和沟通的通用概念框架,形成供应链中的共享概念协议。企业现有数据库中有大量有用的历史数据,关系数据库实际上包含了相关领域的概念模型。本文提出了将关系数据库模式转换为本体的11条映射规则。最后给出了几个实际案例来解释这些映射规则,并与其他一些现有方法进行了比较。
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