IJCAI
2003
14 years 24 days ago
2003
Building data integration systems today is largely done by hand, in a very labor intensive and error prone process. In this paper, we describe a conceptually new solution to this ...
KDID
2004
14 years 25 days ago
2004
Abstract. Database systems are islands of structure in a sea of unstructured data sources. Several real-world applications now need to create bridges for smooth integration of semi...
ISTA
2004
14 years 25 days ago
2004
Currently, there are two main basic approaches to data integration: Global-as-View (GaV) and Local-as-View (LaV). However, both GaV and LaV have their limitations. In a GaV approa...
ICWS
2004
IEEE
14 years 25 days ago
2004
IEEE
We address the problem of large-scale data integration, where the data sources are unknown at design time, are from autonomous organisations, and may evolve. Experiments are descr...
DIWEB
2001
14 years 25 days ago
2001
The demand for data integration is rapidly becoming larger as more and more information sources appear in modern enterprises. In many situations a logical (rather than physical) i...
ECEH
2006
14 years 25 days ago
2006
Data integration in medical applications is a crucial and sensitive task. It turns out that there are rigid factors like heterogeneous, distributed data sources, security, and comp...
IQ
2007
14 years 26 days ago
2007
: Integrated access to distributed data is an important problem faced in many scientific and commercial applications. A data integration system provides a unified view for users to...
BNCOD
2008
14 years 27 days ago
2008
Abstract. The problem of dealing with inconsistent data while integrating XML data from different sources is an important task, necessary to improve data integration quality. Typic...
CIDR
2007
14 years 27 days ago
2007
Object matching or object consolidation is a crucial task for data integration and data cleaning. It addresses the problem of identifying object instances in data sources referrin...
ACSW
2007
14 years 27 days ago
2007
Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical da...