This article presents a multi-agent dialogue system. We show how a collection of relatively simple agents is able to treat complex dialogue phenomena and deal successfully with di...
Hugo Pinto, Yorick Wilks, Roberta Catizone, Alexie...
Abstract. User generated content in general, and blogs in particular, form an interesting and relatively little explored domain for mining knowledge. We address the task of blog di...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke
Modern software systems share with social organizations the attributes of being large-scale, distributed, and heterogeneous systems of systems. The organizational metaphor for soft...
Matthias Wester-Ebbinghaus, Daniel Moldt, Michael ...
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different ...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...