State-of-the-art on mapping maintenance and challenges towards a fully automatic approach

被引：12

作者：

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

Pruski, Cedric ^{[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：

EXPERT SYSTEMS WITH APPLICATIONS | 2015年 / 42卷 / 03期

关键词：

Knowledge management; Mapping evolution; Mapping adaptation; Mapping maintenance; Ontology alignment; Ontology evolution; ONTOLOGY; INTEGRATION; FRAMEWORK; EVOLUTION;

D O I：

10.1016/j.eswa.2014.08.047

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In several domains, software applications have intensively used Knowledge Organization Systems (KOS) like database schemas, ontologies, taxonomies and thesauri and their associated semantic correspondences (i.e., mappings). This underlines the relevance and capabilities of KOS and mappings to manage and integrate vast amounts of data. However, the dynamic nature of domain knowledge forces knowledge engineers to constantly modify KOS, to keep them up to date and useful. In this context, the maintenance of mappings affected by KOS evolution still remains an open research issue. Although this problem appears relevant for many different computer science fields, ranging from database to artificial intelligence, literature has so far only superficially addressed it to enable more flexible, automatic and precise solutions. This article presents, discusses and compares existing approaches for maintaining mappings and describes open research challenges. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：1465 / 1478

页数：14

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