This paper describes the architecture of a Bulgarian–Bulgarian question answering system — BulQA. The system relies on a partially parsed corpus for answer extraction. The que...
We introduce a system to address the challenges involved in managing the multidimensional sensor data streams generated within immersive environments. We call this data type, imme...
: The paper presents YAWN, a system to convert the well-known and widely used Wikipedia collection into an XML corpus with semantically rich, self-explaining tags. We introduce alg...
Ralf Schenkel, Fabian M. Suchanek, Gjergji Kasneci
Abstract. Web services are deemed as the natural choice for deploying e-government applications. Their use enables e-government to fully get advantage of the envisioned Semantic We...
We propose a self-organized content-based Image Retrieval Network (IRN) that is inspired by a Metric Social Network (MSN) search system. The proposed network model is strictly dat...
Stanislav Barton, Vlastislav Dohnal, Jan Sedmidubs...