2017 IEEE 21st International Enterprise Distributed Object Computing Conference (EDOC) 2017
DOI: 10.1109/edoc.2017.21
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Visualisation of Compliant Declarative Business Processes

Abstract: Organisations typically have to cope with large numbers of business rules and existing regulations governing the business in which they operate. Due to the size and complexity of those rules, maintenance is difficult and it is increasingly complicated to ensure that each business process adheres to those rules. As such, automated extraction of business processes from rules has a number of clear advantages: (1) visualisation of all possible executions allowed by the rules, (2) automated execution and compliance… Show more

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Cited by 7 publications
(15 citation statements)
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“…This complemented the investigations on applying logic and machine learning to energy management [5,4,28]. Analogously some authors applied defeasible logic to business processes [10,11] following the long line of investigations cited in the introduction [14,26,8,23,19,17,9].…”
Section: Conclusion and Related Workmentioning
confidence: 76%
See 1 more Smart Citation
“…This complemented the investigations on applying logic and machine learning to energy management [5,4,28]. Analogously some authors applied defeasible logic to business processes [10,11] following the long line of investigations cited in the introduction [14,26,8,23,19,17,9].…”
Section: Conclusion and Related Workmentioning
confidence: 76%
“…In the same spirit, [13,12] address the problem of agents being able to take decisions from partial, incomplete, and possibly inconsistent knowledge bases, using (extensions of) Defeasible Logic (a computational and proof theoretic approach) to non-monotonic reasoning and reasoning with exceptions. While these last two approaches seem very far apart, they are both based on proof theory (where the key notion is on the idea of (logical) derivation), and both logics (for different reasons and different techniques) have been used for modelling business processes [14,26,8,23,19,17,9].…”
Section: Introductionmentioning
confidence: 99%
“…In the example shown in Figure 4, A could be followed by E, which is incorrect as both correspond to different cases. 1 When the presets and/or postsets of common transitions (i.e. t s , C and t e ) are different, additional τ transitions are required to enforce these case-specific dependencies.…”
Section: Merging Casesmentioning
confidence: 99%
“…Proof of only if part by induction: Base case: If L 1 is a trace in N M , it means we either have (1)…”
Section: Proof Proof Of Only If Part By Inductionmentioning
confidence: 99%
“…In the same spirit, [8,7] address the problem of agents being able to take decisions from partial, incomplete, and possibly inconsistent knowledge bases, using (extensions of) Defeasible Logic (a computational and proof theoretic approach) to non-monotonic reasoning and reasoning with exceptions. While these last two approaches seem very far apart, they are both based on proof theory (where the key notion is on the idea of (logical) derivation), and both logics (for different reasons and different techniques) have been used for modelling business processes [9,17,2,16,13,12,4].…”
Section: Introductionmentioning
confidence: 99%