OWL2三层存储中传统数据源和异构数据源(UML、XML和RDB)的语义集成

Q4 Mathematics
Oussama El Hajjamy, Hajar Khallouki, L. Alaoui, M. Bahaj
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引用次数: 1

摘要

随着互联网的成功和网络中数据量的扩大,来自各种异构和经典数据源的信息交换成为一种迫切的需求。在这种情况下,研究人员必须提出允许应用程序同时访问多个数据源的集成解决方案。从这个角度来看,我们提出了一种经典数据源的半自动集成方法,通过位于RDF或OWL数据的数据库管理系统中的全局模式,称为triplestore。我们的贡献被细分为三个方面:1)一个自动映射解决方案,将经典数据源(如UML、XML和RDB)转换为基于OWL2语言的本地本体;2)基于句法、语义和结构相似性度量技术的局部本体对齐系统,以提高局部本体存在真实对应和真实差异的概率;3)基于前一步发现的对齐,将已有的局部本体融合为全局本体。异构经典数据源本体集成
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantic integration of traditional and heterogeneous data sources (UML, XML and RDB) in OWL2 triplestore
: With the success of the internet and the expansion of the amount of data in the web, the exchange of information from various heterogeneous and classical data sources becomes a critical need. In this context, researchers must propose integration solutions that allow applications to simultaneously access several data sources. In this perspective, we propose a semi-automatic integration approach of classical data sources via a global schema located in database management systems of RDF or OWL data, called triplestore. Our contribution is subdivided into three axes: 1) an automatic mapping solution that converts classical data sources such as UML, XML and RDB to local ontologies based on OWL2 language; 2) an alignment system of local ontologies based on syntactic, semantic and structural similarity measurement techniques in order to increase the probability of having real correspondences and real differences; 3) a fusion system of pre-existing local ontologies into a global ontology based on the alignment found in the previous step. integration of heterogeneous classical data sources ontological
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来源期刊
International Journal of Data Analysis Techniques and Strategies
International Journal of Data Analysis Techniques and Strategies Decision Sciences-Information Systems and Management
CiteScore
1.20
自引率
0.00%
发文量
21
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