A Solution of Data Inconsistencies in Data Integration — Designed for Pervasive Computing Environment
A Solution of Data Inconsistencies in Data Integration——Designed for Pervasive Computing Environment

New challenges including how to share information on heterogeneous devices appear in data-intensive pervasive computing environments. Data integration is a practical approach to these applications. Dealing with inconsistencies is one of the important problems in data integration. In this paper we motivate the problem of data inconsistency solution for data integration in pervasive environments. We define data quality criteria and expense quality criteria for data sources to solve data inconsistency. In our ...