Ontology learning is the process of acquiring (constructing or integrating) an ontology (semi-
) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes …

The need for the establishment of evaluation methods that can measure respective
improvements or degradations of ontological models-eg yielded by a precursory ontology …

In this paper, we propose a robust natural language interface called CASIS for controlling
devices in an intelligent environment. CASIS is novel in a sense that it integrates physical …

The evaluation of conversational dialog systems has remained a controversial topic, as it is
challenging to quantitatively assess how well a conversation agent performs, or how much …

This paper presents KD SENSO-MERGER, a novel Knowledge Discovery (KD) architecture
that is capable of semantically integrating heterogeneous data from various sources of …

The approach to knowledge representation taken in a multi-modal multi-domain dialogue
system-SMARTKOM-is presented. We focus on the ontological and representational issues …

Many NLP applications entail that texts are classified based on their semantic distance (how
similar or different the texts are). For example, comparing the text of a new document to that …

This paper proposes a new solution to estimate the correlation of HUMINT data. From a
more general point of view, the underlying problem tackled concerns the evaluation of …

Nowadays, most users carry high computing power mobile devices where speech
recognition is certainly one of the main technologies available in every modern smartphone …

We describe the role of context models in natural language processing systems and their
implementation and evaluation in the SmartKom system. We show that contextual …