Information relevance is an important issue in information access techniques. A solution for improving this relevance is the personalization or adaptation of the answers provided ...
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
Informative labeling schemes consist in labeling the nodes of graphs so that queries regarding any two nodes (e.g., are the two nodes adjacent?) can be answered by inspecting mere...
The Distributed Information Search COmponent (Disco) is a prototype heterogeneous distributed database that accesses underlying data sources. The Disco prototype currently focuses...
We present a shallow linguistic approach to subjectivity classification. Using multinomial kernel machines, we demonstrate that a data representation based on counting character n...