Knowledge and Context-based Systems

Knowledge-based systems (KBS) are used in various applications areas for, e.g., providing decision support, supporting organizational knowledge management, capturing and implementing business rules, etc. From a technical perspective, KBS require capturing the relevant knowledge in a knowledge base (knowledge engineering). The Chair Business Information Systems has experiences from a number of projects in both, knowledge engineering and knowledge-based systems. From research perspective currently our research topics are ontology design patterns, ontology quality metric, semantic technologies and their application in small and medium-sized enterprises.

Context-based systems use all relevant information from the environment of a user or an application system for adapting functionality, behavior or user interface to the actual context. Examples for context-based systems are, e.g., e-learning systems adapting to the learner, digital services adapting to their deployment environment or business models adapting to changes in the technical/organizational infrastructure. Context-based systems often used a knowledge base to store and evaluate context information. From a research perspective, the chair business information systems investigates methods for context modelling, situation-based information supply based on context and context as part of digitization solutions.

The table below gives an overview to the most important activities.