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Semantic and knowledge based support to business model evaluation to stimulate green behaviour of electric vehicles’ drivers and energy prosumers
Journal of Ambient Intelligence and Humanized Computing ( IF 3.662 ) Pub Date : 2021-04-14 , DOI: 10.1007/s12652-021-03243-4
Beniamino Di Martino , Dario Branco , Luigi Colucci Cante , Salvatore Venticinque , Reinhard Scholten , Bas Bosma

This paper proposes a semantic framework for Business Model evaluation and its application to a real case study in the context of smart energy and sustainable mobility. It presents an ontology based representation of an original business model and examples of inferential rules for knowledge extraction and automatic population of the ontology. The real case study belongs to the GreenCharge European Project, that in these last years is proposing some original business models to promote sustainable e-mobility plans. An original OWL Ontology contains all relevant Business Model concepts referring to GreenCharge’s domain, including a semantic description of TestCards, survey results and inferential rules.



中文翻译:

基于语义和知识的业务模型评估支持,可激发电动汽车驾驶员和能源生产者的绿色行为

本文提出了一种用于商业模型评估的语义框架,并将其应用于智能能源和可持续出行环境下的实际案例研究。它介绍了原始业务模型的基于本体的表示形式,以及用于知识提取和本体的自动填充的推理规则的示例。真正的案例研究属于GreenCharge欧洲项目,该项目在最近几年中提出了一些原始的商业模式,以促进可持续的电动出行计划。原始的OWL本体包含涉及GreenCharge领域的所有相关业务模型概念,包括TestCard的语义描述,调查结果和推理规则。

更新日期:2021-04-14
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