To help users answer the question, what is the relation between (real world) entities or concepts, we might need to go well beyond the borders of traditional information retrieval ...
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
We propose a radical approach to relational query processing that aims at automatically and consistently achieving a good performance on any memory hierarchy. We believe this auto...
Language users are increasingly turning to electronic resources to address their lexical information needs, due to their convenience and their ability to simultaneously capture di...
In the first part of this paper, we present a framework for enriching arbitrary upper or domain-specific ontologies with a concept of time. To do so, we need the notion of a time ...