We present a deductive data model for concept-based query expansion. It is based abstraction levels: the conceptual, the expression and the occurrence level. Concepts and their re...
Abstract--In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multipl...
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...
Weijun He, Xiaolei Huang, Dimitris N. Metaxas, Xia...
Abstract. Topic Maps and RDF are two independently developed paradigms and standards for the representation, interchange, and exploitation of model-based data on the web. Each para...