基于语义的轻量级数据集成方法

为解决现有数据集成方法的集成成本过高、缺乏语义信息等问题,对带有语义信息的轻量级数据集成方法开展研究.对本体、元数据等相关理论进行概述,给出了一种基于语义的轻量级数据集成方法,并详细分析了其中的两个主要过程:本体的识别和元数据的抽取、本体映射和基于本体映射的元数据集成,并进行了实例分析.分析结果表明,所给方法切实可行,用元数据集成替代数据集成能够避免大量数据的移动和存储,有效降低数据集成的成本,使数据集成过程轻量化,同时,语义信息的融入能够更好地为上层应用提供支持.

Lightweight data integration method based on semantics

To solve the problems of high costs and lacking of semantics in the existed data integration approaches,the lightweight data integration method with semantics is studied.Firstly,the ontology and metadata is summarized.Then,a lightweight data integration method based on semantics is presented and its two main processes,namely ontology identification and metadata extraction,ontology mapping and metadata integration based ontology mapping,are analyzed.Finally,instance analysis is achieved.The analysis results show that the presented method is feasible.Using metadata integration instead of data integration can avoid the moving and storage of huge amounts of data and reduce the cost of integration and make the process of data integration lightweight.At the same time,the introduction of semantic information can make the presented method provide better support for the upper application.