Dealing with inconsistencies is one the main challenges in data integration systems, where data stored in the local sources may violate integrity constraints specified at the global level. Recently, declarative approaches have been pro-posed to deal with such a problem. Existing declarative pro-posals do not take into account preference assertions speci-fied between sources when trying to solve inconsistency. On the other hand, the designer of an integration system may often include in the specification preference rules indicating the quality of data sources. In this paper, we consider Local-As-View integration systems, and propose a method that allows one to assign formal semantics to a data integration system whose declarative specificati...
When data sources are virtually integrated there is no common and centralized mechanism for maintain...
Transforming data from different information systems is important and challenging for inte-gration p...
Data Quality (DQ) plays a critical role in data integration. Up to now, DQ has mostly been addressed...
Dealing with inconsistencies is one the main challenges in data integration systems, where data stor...
Data integration systems represent today a key technological infrastructure for managing the enormou...
Data integration systems provide access to a set of heterogeneous, autonomous data sources through a...
In multidatabase systems, a major data integration problem is to resolve data conflicts where two ob...
Data integration systems provide access to a set of heterogeneous, autonomous data sources through ...
data integration systems, in the case where the global schema contains the classical key and foreign...
The data integration problem is to provide uniform access to multiple heterogeneous information sour...
Information integration is one of the most important aspects of a Data Warehouse. When data passes f...
In many domains, data cleaning is hampered by our limited ability to specify a comprehensive set of ...
Abstract. When data sources are virtually integrated there is no common and centralized mechanism fo...
A data integration system provides the user with a unified view, called global schema, of the data r...
AbstractA data integration system provides the user with a unified view, called global schema, of th...
When data sources are virtually integrated there is no common and centralized mechanism for maintain...
Transforming data from different information systems is important and challenging for inte-gration p...
Data Quality (DQ) plays a critical role in data integration. Up to now, DQ has mostly been addressed...
Dealing with inconsistencies is one the main challenges in data integration systems, where data stor...
Data integration systems represent today a key technological infrastructure for managing the enormou...
Data integration systems provide access to a set of heterogeneous, autonomous data sources through a...
In multidatabase systems, a major data integration problem is to resolve data conflicts where two ob...
Data integration systems provide access to a set of heterogeneous, autonomous data sources through ...
data integration systems, in the case where the global schema contains the classical key and foreign...
The data integration problem is to provide uniform access to multiple heterogeneous information sour...
Information integration is one of the most important aspects of a Data Warehouse. When data passes f...
In many domains, data cleaning is hampered by our limited ability to specify a comprehensive set of ...
Abstract. When data sources are virtually integrated there is no common and centralized mechanism fo...
A data integration system provides the user with a unified view, called global schema, of the data r...
AbstractA data integration system provides the user with a unified view, called global schema, of th...
When data sources are virtually integrated there is no common and centralized mechanism for maintain...
Transforming data from different information systems is important and challenging for inte-gration p...
Data Quality (DQ) plays a critical role in data integration. Up to now, DQ has mostly been addressed...