Abstract
Three different phenomena, data, information, and knowledge, are relevant in business process modeling. However, business process modeling notations currently do not provide an opportunity to clearly distinguish between them. Therefore, it is necessary to analyze the existing notations to learn from their capabilities and drawbacks in order to arrive at modeling tools that can clearly distinguish between data, information, and knowledge.
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Businska, L., Supulniece, I., Kirikova, M. (2013). On Data, Information, and Knowledge Representation in Business Process Models. In: Pooley, R., Coady, J., Schneider, C., Linger, H., Barry, C., Lang, M. (eds) Information Systems Development. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4951-5_49
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DOI: https://doi.org/10.1007/978-1-4614-4951-5_49
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