Download Business Process Management: 14th International Conference, by Marcello La Rosa, Peter Loos, Oscar Pastor PDF

By Marcello La Rosa, Peter Loos, Oscar Pastor

This e-book constitutes the court cases of the 14th overseas convention on company method administration, BPM 2016, held in Rio de Janeiro, Brazil, in September 2016.
The concentration of the convention covers more than a few papers concentrating on computerized discovery, conformance checking, modeling foundations, understandability of method representations, runtime administration and predictive tracking. the subjects chosen via the authors exhibit an expanding curiosity of the examine group within the region of strategy mining, resonated through an both fast-growing uptake by means of diversified sectors.

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Additional resources for Business Process Management: 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016. Proceedings

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Ignio: Neural automation system for enterprises. com. Accessed 01 July 2016 6. S. : KIPO: the knowledge-intensive process ontology. Softw. Syst. Model. 14(3), 1127–1157 (2015) 7. : Goal-driven business process derivation. R. ) Service Oriented Computing. LNCS, vol. 7084, pp. 467–476. Springer, Heidelberg (2011) 8. Hewlett Packard. Augmented intelligence: Helping humans make smarter decisions. com/tw/zh/software-solutions/asset/software-asset-viewer. asset=2195447&module=1970414. Accessed 01 July 2016 9.

To verify compliance of a process with regulations, or to streamline modifications of structured processes. 1 Classical BPM Setting Suppose that automated learning as described in Sect. 5 is used on implicit process information in order to build a deployable process model. Because NLP techniques are generally not 100 % accurate, the learned process model will have to be vetted and revised by humans, and will also need to be tested. There is also the question of what kinds of job roles will be needed to vet, adjust, and test the learned process models (and model fragments).

Accessed 01 July 2016 25. : Ontology-based information extraction from environmental regulations for supporting environmental compliance checking. In: Computing in Civil Engineering, pp. 190–198 (2015) Ontological Considerations About the Representation of Events and Endurants in Business Models Giancarlo Guizzardi1,2(&), Nicola Guarino2, and João Paulo A. it Abstract. Different disciplines have been established to deal with the representation of entities of different ontological natures: the business process modeling discipline focuses mostly on event-like entities, and, in contrast, the (structural) conceptual modeling discipline focuses mostly on object-like entities (known as endurants in the ontology literature).

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