Semantic similarity is a key issue in many computational tasks. This paper goes into the development and evaluation of two common ways of automatically calculating the semantic si...
Yves Peirsman, Simon De Deyne, Kris Heylen, Dirk G...
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Managing trust is a problem of particular importance in peer-to-peer environments where one frequently encounters unknown agents. Existing methods for trust management, that are b...
We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
In this paper, we present reconfigurable hardware architecture for detecting semantics of streaming data on 1+ Gbps networks. The design leverages on the characteristics of contex...