The rise of social interactions on the Web requires developing new methods of information organization and discovery. To that end, we propose a generative community-based probabil...
The development of spatiotemporal database systems is primarily motivated by applications tracking and presenting mobile objects. Another important trend is the visualization and p...
Abstract. Feature Extraction, also known as Multidimensional Scaling, is a basic primitive associated with indexing, clustering, nearest neighbor searching and visualization. We co...
One important task of semantic web portals is to offer both end users and applications a seamless access to knowledge contained in heterogeneous data sources in specific user commu...
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...