Identifying relevant concept attributes to support mapping maintenance under ontology evolution

被引：11

作者：

Dinh, Duy ^{[1
]}

Dos Reis, Julio Cesar ^{[1
,2
]}

Pruski, Cedric ^{[1
]}

Da Silveira, Marcos ^{[1
]}

Reynaud-Delaitre, Chantal ^{[2
]}

机构：

[1] Publ Res Ctr Henri Tudor, L-4362 Esch Sur Alzette, Luxembourg

[2] Univ Paris 11, LRI, F-91405 Orsay, France

来源：

JOURNAL OF WEB SEMANTICS | 2014年 / 29卷

关键词：

Ontology mappings; Mapping adaptation; Ontology evolution; Semantic similarity; Biomedical ontologies;

D O I：

10.1016/j.websem.2014.05.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The success of distributed and semantic-enabled systems relies on the use of up-to-date ontologies and mappings between them. However, the size, quantity and dynamics of existing ontologies demand a huge maintenance effort pushing towards the development of automatic tools supporting this laborious task. This article proposes a novel method, investigating different types of similarity measures, to identify concepts' attributes that served to define existing mappings. The obtained experimental results reveal that our proposed method allows to identify the relevant attributes for supporting mapping maintenance, since we found correlations between ontology changes affecting the identified attributes and mapping changes. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：53 / 66

页数：14