语义集成中的不确定性本体映射模型

语义Web的高速发展使其具有动态性和异构性特征,解决语义信息的异构性问题成为实现信息集成的关键。本体作为一种语义Web的知识表示形式,增强了Web的语义信息。因此,为了解决语义异构性,实现数据间的互操作,必须建立异构本体间的映射关系。然而,为庞大的异构本体建立完全精确的本体映射是不现实的,本体映射中存在一定的不确定性。提出了一种新型的本体映射框架——语义集成中的不确定性本体映射。从不同方面研究本体特征,集合了多种映射策略,并引入了各映射策略中不确定性匹配的解决方案。实验证明,该方法具有可靠的实验性能,并且具有很好的通用性和可扩展性。

Ontology mapping model with uncertainty in semantic integration

Semantic Web is developing with high speed and features of dynamic and heterogeneous.Resolving the heterogeneity in semantic information is the key of information integration.Ontology is a form of knowledge expression for the semantic Web information，which enhances the semantic information for Web.To resolve semantic heterogeneity，and realize interoperation，it is in need of establishing mappings between heterogeneous ontologies.However，establishing absolute precise ontology mappings for huge heterogeneous ontologies is unpractical.There is usually some degree of uncertainty in ontology mappings.This paper proposes a new ontology mapping framework，ontology mapping with uncertainty in semantic integration，researches various ontology features，integrates several mapping strategies，and introduces uncertain matching in each mapping strategy.Experiment shows that this new approach has a reliable performance，and is more general and scalable.