The Semantic Web is an extension of the current Web in which information is given well-defined meaning to support effective data discovery and integration. The RDF framework is a...
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
In this paper we introduce our departments organizational and technical infrastructure for knowledge-intensive and weak-structured processes: A framework for Knowledge Management ...
One of the primary goals in discovery science is to understand the human scientific reasoning processes. Despite sporadic success of automated discovery systems, few studies have s...
This paper investigates the methodological foundations of a new research field called chance discovery which aims to detect future opportunities and risks. By drawing on concepts...