: We propose specification of schema mappings and agents' actions in XML data integration task. We discuss the problem in a highly-dynamic environment consisting of a communit...
Grazyna Brzykcy, Jerzy Bartoszek, Tadeusz Pankowsk...
Data cubes for OLAP (Online Analytical Processing) often need to be constructed from data located in several distributed and autonomous information sources. Such a data integratio...
Data integration systems provide a uniform query interface (UQI) to multiple, autonomous data sources [4]. This paper presents the universal data model (UDM) that captures the sem...
Large-scale experiments and data integration have provided the opportunity to systematically analyze and comprehensively understand the topology of biological networks and biochem...
: In a data warehousing process, the phase of data integration is crucial. Many methods for data integration have been published in the literature. However, with the development of...
Background: Identifying relevant research in an ever-growing body of published literature is becoming increasingly difficult. Establishing domain-specific knowledge bases may be a...
Background: Data integration is an escalating problem in bioinformatics. We have developed a web tool and warehousing system, Booly, that features a simple yet flexible data model...
Long H. Do, Francisco F. Esteves, Harvey J. Karten...
The collection of multiple genome-scale datasets is now routine, and the frontier of research in systems biology has shifted accordingly. Rather than clustering a single dataset t...
Balaji S. Srinivasan, Nigam H. Shah, Jason Flannic...
In pattern recognition, data integration is a processing method to combine multiple sources so that the combined result can be more accurate than a single source. Evidence theory ...
A main problem of data integration is the treatment of conflicts caused by different modeling of real-world entities, different data models or simply by different representations ...