Abstract. In this paper we focus on the problem of integrating knowledge bases expressed in a description logic. To this end, we propose three basic operations: union, intersection...
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Abstract. Considering different implication operators, such as Lukasiewicz, G¨odel or product implication in the same logic program, naturally leads to the allowance of several a...
Abstract. We develop an abstract operational model for configuration management under service-oriented computing. This semantics is based on a graph-based representation of the con...
Trend analysis and forecasting applications (e.g., securities trading, stock market, and after-the-fact diagnosis) need event detection along a moving time window. Event-driven app...