Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Abstract. Building user-friendly GUIs for browsing and filtering RDF/S description bases while exploiting in a transparent way the expressiveness of declarative query/view language...
: State-of-the-art interoperability between heterogeneous systems on a technical level builds on services oriented architectures (SOA) for a given problem space. Semantics can be i...
With the enormous and still growing amount of data and user interaction on the Web, it becomes more and more necessary for data consumers to be able to assess the trustworthiness ...
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emergi...
Larry Kerschberg, Mizan Chowdhury, Alberto Damiano...