关系数据模型和语义本体的相似性评估方法

Imants Zarembo, A. Teilans, K. Barghorn, Y. Merkuryev, Gundega Bēriņa
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引用次数: 1

摘要

在即将到来的语义网时代,大量的关系数据库被广泛使用。当需要将遗留关系数据库迁移到语义web或与其集成时,就会出现确定以不同方式表示的两个数据模型之间的相似性(兼容性)的重要问题。本文的目的是描述关系数据库模型和语义数据模型相似度评估的方法,并提出一个本体匹配工具的研究原型。该方法由一组步骤组成,包括数据模型的转换规则,必须评估其兼容性,以相同的本体表示和应用本体匹配技术。该方法使领域专家能够在关系数据模型和表示为本体的数据模型之间半自动地执行匹配任务。半自动匹配的结果由领域专家手工验证。该方法通过使用土地管理领域的一个用例得到了认可。在用例中,必须评估由国际标准和关系数据库提供的数据模型的兼容性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodology for Similarity Assessment of Relational Data Models and Semantic Ontologies
In the upcoming age of semantic web there is a large number of relational databases being widely used. When time comes for a legacy relational database to migrate to semantic web or to be integrated with it, an important issue of determining similarity (compatibility) between two data models expressed in different ways arises. The goal of this paper is to describe the methodology for similarity assessment of relational database models and semantic data models and to present an ontology matching tool research prototype. The methodology consists of a set of steps, including transformation rules for data models, whose compatibility must be assessed, to the same ontology representation and applying ontology matching techniques. The methodology enables domain experts to perform a matching task semi-automatically between a relational data model and data model expressed as an ontology. The results of the semi-automatic matching are manually verified by the domain experts. The methodology was approbated using a use case from land administration domain. In the use case compatibility of data model provided by an international standard and a relational database had to be assessed.
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