Research in the Area Knowledge-Based Technology (KBT) targets at the exploitation and application of state-of-the-art and new knowledge-based and data-driven methods for supporting the process of managing, controlling and applying complex software, hence improving software quality in terms of interpretability, operability and optimization.
SCCH’s Knowledge-Based Technology (KBT) Area represents the view of software as an artifact capable of generating, representing and processing knowledge rather than just dealing with data and information.
The importance of knowledge-based technologies increases with the amount and complexity of available data. KBT’s orientation is primarily mathematical and formal, and its R&D concentrates on uniquely combining statistical methods (e.g., machine learning and kernel-based techniques) and cognitive approaches (e.g., fuzzy rule-based methods and natural language processing) from the field of computational intelligence in order to solve modeling, optimization and prediction problems in industry.
KBT has three core competencies: