摘要
本体(ontology)版本间的单向匹配不能满足数据共享和重用的需求。本文介绍一种新的本体版本匹配方法。该方法可以对同一本体的两个版本同时进行正向和逆向匹配,将不同版本中的相似元素联系起来并相互转换,从而提高同一本体不同版本的数据源间的数据共享能力。文中详细描述本体版本双向匹配中的匹配元素、匹配关系和转换表达式,并以实例证明采用本文所述的双向匹配方法能有效提高数据共享的能力。
Single-directional mapping between ontology versions can not satisfy the requirement of data sharing and reusing. In this paper a new approach, bi-directional mapping, for mapping ontology versions is introduced. It can process mappings between two ontology versions in two directions at the same time and produce the bi-directional mapping which can relate and transform the similar elements in different ontology versions . So it can greatly improve the ability of data sharing between data resources that use different versions of the same ontology . Four elements of the bi-directional mapping between ontology versions are described in details, including mapping element, bi-directional mapping relation, bi-directional transformation and additional metadata. Finally, an example of bi-directional mapping between ontology versions is presented.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2006年第4期546-551,共6页
Pattern Recognition and Artificial Intelligence
关键词
本体版本
双向匹配
转换表达式
双向匹配关系
元数据
Ontology Version, Bi-Directional Mapping, Transformation Expression, Bi-Directional Mapping Relation, Matadata
