The tutorial first addresses requirements and semantic problems to integrate digital information into large scale, meaningful networks of knowledge that support not only access to...
Numerous approaches to information modeling exist within chemical engineering representing product data, work processes, or other information. These models have a limited scope an...
Understanding conceptual change is an important problem in modeling human cognition and in making integrated AI systems that can learn autonomously. This paper describes a model o...
A powerful and useful approach for modeling knowledge and qualitative reasoning is the Cognitive Map. The background of Cognitive Maps is the research about learning environments c...
- Ontology engineering has been proposed as a formal mechanism for both reducing the complexity of managing the information needed in network management and autonomic systems and f...