Data Migration for Ontology Evolution

作     者：赵彦 张雷 林晨曦 张卓 俞勇 

作者机构：Dept. of Computer Science and Eng. Shanghai Jiaotong Univ. Shanghai 200030 China 

出 版 物：《Journal of Shanghai Jiaotong university(Science)》 (上海交通大学学报（英文版）)

年 卷 期：2004年第9卷第4期

页      面：1-6页

学科分类：08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 

基　　金：National863ProjectFundofChina(No.2002AA4130) 

主　　题：data migration ontology semantic web 

摘      要：Ontology is the conceptual backbone that provides meaning to data on the semantic web. However, ontology is not a static resource and may evolve over time, which often leaves the meaning of data in an undefined or inconsistent state. It is thus very important to have a method to preserve the data and its meaning when ontology changes. This paper proposed a general method that solves the problem using data migration. It analyzed some of the issues in the method including separation of ontology and data, migration specification, migration result and migration algorithm. The paper also instantiates the general mothod in RDF(S) as an example. The RDF(S) example itself is a simple but complete method for migrating RDF data when RDFS ontology changes.