Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this a...
Acquiring knowledge from the Web to build domain ontologies has become a common practice in the Ontological Engineering field. The vast amount of freely available information allo...
In this paper we present an approach for creating user infrom abstract representations for the automotive domain. The approach is based on transformations between different user ...
Guido M. de Melo, Frank Honold, Michael Weber, Mar...
Intelligent user interfaces are characterised by their capability to adapt at run-time and make several communication decisions concerning ‘what’, ‘when’, ‘why’ and ...