Ontology has been widely adopted as the basis of knowledge sharing and knowledge-based public services. However, ontology construction is a big challenge, especially in collaborati...
The paper proposes a unification of the two main frameworks commonly used for the analysis of collective decisionmaking: the framework of preference aggregation, developed from t...
In this paper, the task of text segmentation is approached from a topic modeling perspective. We investigate the use of latent Dirichlet allocation (LDA) topic model to segment a ...
Abstract. We propose a framework in which query sizes can be estimated from arbitrary statistical assertions on the data. In its most general form, a statistical assertion states t...
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...