Semantic Representation and Rule Based Patterns Discovery and Verification in eProcurement Business Processes for eGovernment

Martino, Beniamino Di; Cascone, Datiana; Cante, Luigi Colucci; Esposito, Antonio

doi:10.1007/978-3-030-79725-6_67

Cited by 10 publications

(5 citation statements)

References 12 publications

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“…Figure 1 shows a UML use case diagram to provide a comprehensive overview of the functionality offered and possible applications and user interactions involved. In the diagram, functionalities that already existed in the first version of the tool described in works 12‐15 are represented with gray boxes, while functionalities that were added later and are explained in detail in this article are indicated with green boxes. As can be seen from the use cases diagram, the tool offers some basic project management functions, in particular, each user, after registering and logging in, can create their project within which they can upload all the OWL, BPMN and Prolog files to work with.…”

Section: Semprann Overview: Methodology Technologies and Featuresmentioning

confidence: 99%

“…in works [12][13][14][15] are represented with gray boxes, while functionalities that were added later and are explained in detail in this article are indicated with green boxes. As can be seen from the use cases diagram, the tool offers some basic project management functions, in particular, each user, after registering and logging in, can create their project within which they can upload all the OWL, BPMN and Prolog files to work with.…”

Section: Semprann Overview: Methodology Technologies and Featuresmentioning

confidence: 99%

“…The methodology used by the BPMN semantic annotation tool described in this article has already been partially described in works. [12][13][14][15][16] The methodology, described in Figure 2, is based on the construction of several general purpose agnostic ontologies built with the OWL language, which are subsequently linked to a domain ontology describing aspects regarding the chosen application domain. The BPMN2Ontology is a pre-existing ontology that semantically describes all structural aspects of a generic BPMN, and it is defined in Reference 17.…”

Section: The Bpmn Semantic Annotation Methodologymentioning

confidence: 99%

“…To verify that the activities recognized in the BPMN respect the same causal order defined by the pattern, one must use the structural information of the BPMN contained in the S‐BPMN ontology to perform a recursive traversal of the graph constituting the BPMN. More details regarding the pattern detection activity are provided by the works 12,15 …”

Section: An Application Case Study: a Pharmaceutical Supply Chainmentioning

confidence: 99%

“…More details regarding the pattern detection activity are provided by the works. 12,15 In the BPMN Inference module built into the tool, Prolog rules that perform pattern recognition have already been implemented, and they are invoked by a special web service that takes in input such rules and Prolog facts returned by the converter, and executes the rules by working on the facts using the Tau Prolog interpreter.…”

Section: Business Process Pattern Detectionmentioning

confidence: 99%

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A tool for the semantic annotation, validation and optimization of business process models

et al. 2023

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The adoption of the business process model notation for the description of internal workflows and procedures by both public administrations and private organizations is steadily growing, thanks to the simplicity of the standard and its consistent expressivity. However, the lack of semantic support from BPMN can pose important limitations to its efficient use, as ambiguities in task definitions and communications can lead to misinterpretations. Furthermore, there is the need to validate the BPMNs, to check their adherence to regulations, especially in public administration, and to verify their conformance to security and privacy constraints. In this work, we present SemPrAnn, a semantic annotation tool for BPMN that, exploiting domain ontologies and logical rules, provides the possibility to unambiguously identify concepts in workflows and to run inferential engines against them to enforce the rules. The manuscript presents the methodology applied for the implementation of the tool, the tool itself with its exposed functionalities, and a case study demonstrating its current capabilities.

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Section: Semprann Overview: Methodology Technologies and Featuresmentioning

confidence: 99%