Semantic and knowledge based support to business model evaluation to stimulate green behaviour of electric vehicles’ drivers and energy prosumers

Martino, Beniamino Di; Branco, Dario; Cante, Luigi Colucci; Venticinque, Salvatore; Scholten, Reinhard; Bosma, Bas

doi:10.1007/s12652-021-03243-4

Cited by 6 publications

(6 citation statements)

References 14 publications

(12 reference statements)

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“…The viewer marks the classes with a yellow dot and the instances with a purple rhombus, and when an item in the list is selected with the mouse, it also highlights in light blue all the classes in the ontology that are hierarchically superior. The ontology displayed in Figure 5 describes the domain inherent in the business models of the European GreenCharge project, which is extensively described in works 18,19 . As far as BPMN is concerned, following an analysis of the state of the art, it was deemed unnecessary to implement certain functionalities, as the Javascript API of BPMN.io already provides everything that is needed.…”

Section: Semprann Overview: Methodology Technologies and Featuresmentioning

confidence: 99%

“…The ontology displayed in Figure 5 describes the domain inherent in the business models of the European GreenCharge project, which is extensively described in works. 18,19 As far as BPMN is concerned, following an analysis of the state of the art, it was deemed unnecessary to implement certain functionalities, as the Javascript API of BPMN.io already provides everything that is needed. In particular, these APIs make it possible to display a BPMN, create a new one or edit an existing one.…”

Section: Visualization and Editing Of Owl Ontologies And Bpmnmentioning

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%

Section: Visualization and Editing Of Owl Ontologies And Bpmnmentioning

confidence: 99%

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

et al. 2023

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“…The smaller the value of the protrusion function, the greater the probability that the vertex belongs to the rigid part of the model. Therefore, the priority queue is constructed according to the protrusion function value of the model vertices, and then the vertices are expanded until all the protrusion sub parts are divided into a series of unconnected regions, and the first layer rough recognition is completed [8]. In the implementation of the algorithm, in order to avoid the high complexity of extracting the rigid body part by multi-dimensional calibration, firstly construct the geodesic path between the external feature points, and then track the vertices on the geodesic path until the extracted rigid body region has effectively separated different sub parts, and the algorithm ends.…”

Section: Methods 21animation Character Recognition Based On Semantic ...mentioning

confidence: 99%

“…,find out the matching point z of i and turn to step (5), otherwise proceed to the next step; (8) There is an augmented path R from 0 o to i, let…”

Section: Methods 21animation Character Recognition Based On Semantic ...mentioning

confidence: 99%

Animation character recognition and character intelligence analysis based on semantic ontology and Poisson equation

Yang

2022

Applied Mathematics and Nonlinear Sciences

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In order to make a deeper research on the existing animation character recognition technology and improve the existing role intelligent analysis technology, semantic ontology and Poisson equation are combined to apply to the animation character recognition and role intelligent analysis technology. For the three-dimensional model, the mapping relationship between semantic tags and local geometric features is extracted to form an intelligent recognition ontology. In the recognition process, support vector machine (SVM) and local geometric features are used to identify semantic tags, and the recognition analysis is carried out according to the semantic tag driving level. Ensure the consistency of animation character model recognition level. In view of the equal perimeter of the recognition boundary under attitude change, the isoline is defined by Poisson equation. This optimization method makes the recognition boundary smooth and consistent under the change of attitude. In the experimental part, various animation character models under different postures are verified and analyzed, and the consistent hierarchical recognition effect is obtained. Compared with the existing methods, the proposed recognition ontology can solve the problem of adaptive selection of optimization parameters of different models and improve the recognition quality.

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“…Model Ontology (Di Martino et al, 2021) This ontology is used for representation of a business model. It allows definition of deductive rules for knowledge extraction and automatic ontology completion.…”

Section: Businessmentioning

confidence: 99%

Application of Semantic Web Technologies for Supporting Customer Relationship Management: a Systematic Literature Review

Georgieva-Trifonova,

Petrov,

Milev

2023

BRAIN

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The purpose of the present paper is to summarize the current state of the existing research on the application of Semantic web technologies in supporting customer relationship management. Its achievement includes providing answers to a set of research questions as a result of conducting a systematic literature review. A total of 44 scientific publications are identified as relevant to the topic and included in the review. Information is extracted from the selected literature sources, which is then summarized, systemized and analyzed according to the predefined research questions and finally reported. The conducted systematic literature review determines that the development of Semantic web technologies is provoked interest among researchers, as a result of which the advantages of using them for descriptions useful for various CRM purposes are investigated and practically confirmed. In addition to defining semantic models for descriptions supporting a variety of CRM activities and processes (such as customized products and services; supporting users of CRM systems; integrated offerings across channels; improved and innovative products and services; customer complaint management, etc.), various research works identify new approaches to support CRM, that can be achieved through the application of appropriate Semantic web technologies. The detailed study represented in this paper contributes to familiarization with the existing experience in the application of Semantic web technologies in supporting customer relationship management, as well as facilitates the discovery of trends and directions for future research. This is the reason for the expected interest from scientists whose research area cover the considered and similar fields; software engineers implementing CRM systems; data analysts exploring CRM domain.

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Semantic and knowledge based support to business model evaluation to stimulate green behaviour of electric vehicles’ drivers and energy prosumers

Cited by 6 publications

References 14 publications

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

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

Animation character recognition and character intelligence analysis based on semantic ontology and Poisson equation

Application of Semantic Web Technologies for Supporting Customer Relationship Management: a Systematic Literature Review

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