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Study on Heterogeneous Data Integration Issues in Web Environments

Hao Fan, Hao Gui

Open publisher page 3 citations

Abstract

In web environments, data might be integrated form remote, distributed, autonomous and heterogeneous data sources into a central data collection. The heterogeneity of data sources has two aspects, model heterogeneity and schema heterogeneity. This paper investigates an architecture of data integration, presents data integration processes, and discusses data integration approaches in web environments.

About this research paper

What this paper is about

In web environments, data might be integrated form remote, distributed, autonomous and heterogeneous data sources into a central data collection. The heterogeneity of data sources has two aspects, model heterogeneity and schema heterogeneity. This paper investigates an architecture of data integration, presents data integration processes, and discusses data integration approaches in web environments.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In web environments, data might be integrated form remote, distributed, autonomous and heterogeneous data sources into a central data collection. The heterogeneity of data sources has two aspects, model heterogeneity and schema heterogeneity. This paper investigates an architecture of data integration, presents data integration processes, and discusses data integration approaches in web environments.

Key concepts: Data integration, Computer science, Semantic heterogeneity, Schema (genetic algorithms), Ontology-based data integration, Data mapping, Data science, World Wide Web

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