2009Unpublished venueRequires access

Data Quality-Oriented Data Integration in Peer-to-Peer System

Zhigang Zhao

Open publisher page 4 citations

Abstract

In current applications, P2P system has become a robust environment for data integration. But the data sources of P2P system are autonomous and heterogeneous, which increase the difficulty of data integration. Current researches focus on how to manage information of data resources and ensure the data quality of data integration in P2P system. This paper presents a quality-oriented data integration model. In this model, we mainly deal with data integration of databases resources. We propose a structure to manage the schema information in P2P system. Then, we build a model for evaluating their data quality to select data sources the query of data integration, which is important for improving the quality of data integration. Finally, experimental results have shown that our quality-oriented data integration can provide higher quality of integration result and even lower time cost.

About this research paper

What this paper is about

In current applications, P2P system has become a robust environment for data integration. But the data sources of P2P system are autonomous and heterogeneous, which increase the difficulty of data integration. Current researches focus on how to manage information of data resources and ensure the data quality of data integration in P2P system. This paper presents a quality-oriented data integration model. In this model, we mainly deal with data integration of databases resources. We propose a structure to manage the schema information in P2P system. Then, we build a model for evaluating their data quality to select data sources the query of data integration, which is important for improving the quality of data integration. Finally, experimental results have shown that our quality-oriented data integration can provide higher quality of integration result and even lower time cost.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In current applications, P2P system has become a robust environment for data integration. But the data sources of P2P system are autonomous and heterogeneous, which increase the difficulty of data integration. Current researches focus on how to manage information of data resources and ensure the data quality of data integration in P2P system. This paper presents a quality-oriented data integration model. In this model, we mainly deal with data integration of databases resources. We propose a structure to manage the schema information in P2P system. Then, we build a model for evaluating their data quality to select data sources the query of data integration, which is important for improving the quality of data integration. Finally, experimental results have shown that our quality-oriented data integration can provide higher quality of integration result and even lower time cost.

Key concepts: Data integration, Computer science, Data quality, Data virtualization, Enterprise information integration, Ontology-based data integration, Data modeling, System integration

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