语义信息集成中基于等价类的上下文转换

Context Conversion Based on Equivalence Class in Semantic Information Integration

基于本体的语义信息集成能够解决分布数据源之间的模式级语义异构,而对于广泛存在的上下文语义异构却无法解决.为了解决上下文异构,提出一种将暗含的上下文语义进行形式化描述的方法,并对于上下文异构中的表示异构提出一种基于等价类的上下文转换方法,该方法避免了已有转换方法需要反复定义大量映射和进行复杂推导的缺点,具有灵活、简单、易于扩展的特点.

Ontology based semantic information integration can solve the schematic heterogeneity among distributed data sources, but can not solve context heterogeneity which is widely existed. To solve context heterogeneity, firstly a context presentation to describe the implicit semantics formally is introduced. Then ,aiming at the represent heterogeneity, one of the context heterogeneities ,a flexible, simple and scalable context conversion method based on equivalence class is proposed. It avoids the shortcoming of existing method which need to define numerous mappings repeatedly and conduct complex reasoning.