In this paper, we propose a peer-to-peer approach to derive and obtain additional context data from lowlevel context data that may be spread over multiple domains in pervasive com...
We have developed an informative sample subspace (ISS) method that is suitable for projecting high-dimensional data onto a low-dimensional subspace for classification purposes. In...
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
We present a novel passage-based approach to re-ranking documents in an initially retrieved list so as to improve precision at top ranks. While most work on passage-based document...
This paper investigates the role of ontologies as a central part of an architecture to repurpose existing material from the web. A prototype system called ArtEquAKT is presented, ...
Mark J. Weal, Harith Alani, Sanghee Kim, Paul H. L...