In this paper, we develop a model for representing term dependence based on Markov Random Fields and present an approach based on Markov Chain Monte Carlo technique for generating ...
In this demonstration, we present the ZOOM*UserView system, and focus on the module which generates a "user view" based on what tasks the user perceives to be relevant i...
Olivier Biton, Sarah Cohen Boulakia, Susan B. Davi...
This demo presents an extension of a declarative language for specifying data-intensive Web applications. We demonstrate a scenario extracted from a real-life application, the Web...
Marco Brambilla, Stefano Ceri, Sara Comai, Marco D...
Decision-support applications generate queries with complex predicates. We show how the factorization of complex query expressions exposes significant opportunities for exploiting...
Since a big part of web content is stored in relational databases (RDB) there are several approaches for generating of semantic web metadata from RDB. In our previous work we desig...