In the era of digital information, the value of data resides not only in its volume and quality, but also in the additional information that can be inferred from the combination (a...
Daniele Braga, Francesco Corcoglioniti, Michael Gr...
Enterprise-level applications are becoming complex with the need for event and stream processing, multiple query processing and data analysis over heterogeneous data sources such ...
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
Increasing popularity of XML and P2P networks has generated much interest in distributed processing of XML data. We propose a novel solution organized around a mediator capable of...
In recent years, there has been an explosion of publicly available RDF and OWL data sources. In order to effectively and quickly answer queries in such an environment, we present...