Mixed-initiative learning integrates complementary human and automated reasoning, taking advantage of their respective reasoning styles and computational strengths in order to sol...
In the way they cope with variability, present-day methodologies are onerous, pessimistic and risky, all at the same time! Dealing with variability is an increasingly important as...
We consider the problem of retrieving consistent answers over databases that might be inconsistent with respect to some given integrity constraints. In particular, we concentrate o...
Data integration from multiple autonomous data sources has emerged as an important practical problem. The key requirement for such data integration is that owners of such data nee...
Amr El Abbadi, Aziz Gulbeden, Divyakant Agrawal, F...
Semiconductor design companies are in a continuous search for design tools that address the ever increasing chip design complexity coupled with strict time-to-market schedules and...