Scientific data offers some of the most interesting challenges in data integration today. Scientific fields evolve rapidly and accumulate masses of observational and experiment...
Partha Pratim Talukdar, Zachary G. Ives, Fernando ...
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...
Business-to-business (B2B) data exchange and integration is a common daily operation in today’s organizations. These operations are crucial since they affect organizations’ ca...
Seamless integration of digital parts libraries or electronic parts catalogs for e-procurement is impeded by semantic heterogeneity. The utilization of ontologies as metadata desc...
Information in today’s enterprises commonly resides in a variety of heterogeneous data sources, including relational databases, web services, files, packaged applications, and c...