Zhang Songmao, Bodenreider Olivier
U.S. National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894, USA.
Stud Health Technol Inform. 2004;107(Pt 1):459-66.
Methods for comparing associative relationships across ontologies often rely solely on lexical similarity between the names of the relationships, which may lead to missed matches and inaccurate matches. In this paper, we propose a novel method based on the analysis of paths between equivalent concepts across ontologies. Patterns of relationships are identified for each associative relationship. The most frequent patterns indicate a correspondence between an associative relationship in one ontology and one relationship (or combination thereof) in the other. We applied this method to two ontologies of anatomy. Our method was able to identify the correspondence between relationships even in the absence of lexical similarity between relationship names. The various types of matches identified are discussed as well as the application of this method to detecting inconsistencies across the ontologies.
跨本体比较关联关系的方法通常仅依赖于关系名称之间的词汇相似性,这可能导致匹配遗漏和匹配不准确。在本文中,我们提出了一种基于分析跨本体等效概念之间路径的新方法。为每个关联关系识别关系模式。最常见的模式表明一个本体中的关联关系与另一个本体中的一个关系(或其组合)之间的对应关系。我们将此方法应用于两个解剖学本体。即使关系名称之间没有词汇相似性,我们的方法也能够识别关系之间的对应关系。讨论了所识别的各种匹配类型以及该方法在检测本体间不一致性方面的应用。