Background: Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of k...
Bolan Linghu, Evan S. Snitkin, Dustin T. Holloway,...
Scientific workflows are frequently being used to model complex phenomena, to analyze instrumental data, to tie together information from distributed sources, and to pursue other ...
In the context of ontology evolution, ontology population is the activity of acquiring new semantic descriptions of data extracted from heterogeneous data sources. To this end, the...
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. The development of efficient techniques ...
Abstract. In heterogeneous data warehousing environments, autonomous data sources are integrated into a materialised integrated database. The schemas of the data sources and the in...