The paper reports on the formal framework to design strategies for multi-issue non-symmetric meaning negotiations among software agents in a distributed information retrieval syste...
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
We present an approach to information retrieval based on context distance and morphology. Context distance is a measure we use to assess the closeness of word meanings. This conte...
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
We present iClusterDL, a self-organising overlay network that supports information retrieval and filtering functionality in a digital library environment. iClusterDL is able to han...
Paraskevi Raftopoulou, Euripides G. M. Petrakis, C...