Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
We present a framework for validating the compliance of a design with a given architecture. Our approach is centered on the concept of misinterpretations. These include missing be...
In this paper, we analyze a geospatial application for visualizing U.S. election results in order to show the problems that need to be solved in the mapping between different XML...
In this paper, we propose an open framework for teachers and lecturers in science, to help them write their pedagogical documents with both static textual parts, and interactive a...
In this paper, we propose a preference framework for information retrieval in which the user and the system administrator are enabled to express preference annotations on search ke...