Ontology based proactive design and patterns towards the adaptability of knowledge management systems

Abstract

Knowledge management in large enterprises is composed of complex processes through which knowledge items are created, collected, evaluated and interconnected before they can be reused later. The challenge is how to cope with the different requirements of knowledge management systems, especially over times. The paper proposes a four level abstraction framework for modeling the commonalities and differences of knowledge management systems to cope with the possible changes in the future. Based on an ontology schema, the metameta model is given via combining the OSM model with task models and the commonalities from variability analysis. Then, the knowledge organization pattern, state diagram and task patterns are analyzed. The requirements and future changes are proactively modeled using patterns or variability models, so that the adaptability can be achieved through configuration by end-users in the deployment and runtime phases. © Springer-Verlag 2009.