Database integration is a process based on user requirement for unified view of data from
heterogeneous data sources. Conflicts are necessary to resolve for successful integration …

Entity Matching (EM) or record linkage is the task of identifying entities (objects, data
instances) denoting the same real-world entity. Entity matching is an important and well …

Data fusion in the virtual data integration environment starts after detecting and clustering
duplicated records from the different integrated data sources. It refers to the process of …

Data Integration is the process of combining data residing at homogeneous, autonomous,
and heterogeneous data sources, and providing users with a unified global schema GS …

By data integration systems (DIS) we mean the systems in which query answers are
instantaneously mapped from a set of available data sources. The query answers may be …

This paper proposes a heterogeneous data integration method based on object mapping to
solve the problem of mass of heterogeneous data existing in online application of science …

Inconsistency detection is a large research area that has many applications. In the scope of
Islamic content mining, this topic is of a particular interest because of the continuously …

Integration of data from multiple, heterogeneous databases is a commonly encountered
scenario in information retrieval systems where the user is to be provided with a unified view …

Data integration systems (DIS) are systems where query answers are collected from a set of
heterogeneous and autonomous data sources. Data integration systems can improve results …

Mobile Cloud Computing (MCC) addresses the resource limitations of the mobile devices,
but with a hidden cost depending on the requirements of the mobile applications. In this …