Abstract. Integrating, cleaning and analyzing data from heterogeneous sources is often complicated by the large amounts of data and its physical distribution which can result in po...
Kai-Uwe Sattler, Oliver Dunemann, Ingolf Geist, Gu...
Abstract—Querying non-conventional data sources is recognized as a major issue in new environments and applications such as those occurring in pervasive computing. A key issue is...
Semantic matching1 is a fundamental step in implementing data sharing applications. Most systems automating this task however limit themselves to finding simple (one-to-one) match...
Simulations often operate on static datasets and data sources, but many simulations would benefit from access to dynamic data. This paper describes our work developing a software ...
Linda F. Wilson, Daniel Burroughs, Jeanne Sucharit...
A data warehouse collects and integrates data from multiple, autonomous, heterogeneous, sources. The warehouse e ectively maintains one or more materialized views over the source ...
Janet L. Wiener, Himanshu Gupta, Wilburt Labio, Yu...