Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
Software reuse: a standards-based guide
Software reuse: a standards-based guide
Domain Theory: Patterns for Knowledge and Software Reuse
Domain Theory: Patterns for Knowledge and Software Reuse
A stakeholders centered approach for conceptual modeling of communication-intensive applications
Proceedings of the 23rd annual international conference on Design of communication: documenting & designing for pervasive information
An ontology-based framework for building adaptable knowledge management systems
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
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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 meta-meta 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.