Knowledge-driven systems for episodic decision support

• Decision support systems rely on collaborative and episodic participation.
• Large decision knowledge bases can include varying knowledge representations.
• We introduce an approach to implement such systems in a coherent manner.
• The approach is based on semantic technologies and web standards.
• A case study describes experiences with a decision support system in industrial use for years.

The paper describes a new approach of developing and maintaining state-of-the-art decision support systems. Such systems are able to capture the collaborative work on decision problems over time. Due to the complexity of large problem spaces a multi-modal knowledge representation is proposed. For the realization of a multi-modal knowledge base we integrate semantic technologies as a fundamental layer by combining the W3C ontologies PROV-O and SKOS. The approach is demonstrated by an implementation report of an industrially deployed decision support system.