Title :
Data Quality-Oriented Data Integration in Peer-to-Peer System
Author_Institution :
Shenyang Normal Univ., Shenyang, China
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.
Keywords :
data handling; database management systems; peer-to-peer computing; P2P system; data quality-oriented data integration model; databases resources; information management; peer-to-peer system; Hybrid intelligent systems; Peer to peer computing; Algorithm; Evaluation; P2P; Quality-Oriented;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.199