1. Semantic and knowledge based support to business model evaluation to stimulate green behaviour of electric vehicles’ drivers and energy prosumers
- Author
-
Bas Bosma, Salvatore Venticinque, Luigi Colucci Cante, Dario Branco, Reinhard Scholten, Beniamino Di Martino, Ethics, Governance and Society, Di Martino, B., Branco, D., Colucci Cante, L., Venticinque, S., Scholten, R., and Bosma, B.
- Subjects
Knowledge management ,General Computer Science ,Computer science ,Population ,Context (language use) ,02 engineering and technology ,Ontology (information science) ,Business model ,computer.software_genre ,7. Clean energy ,Domain (software engineering) ,Knowledge extraction ,0502 economics and business ,11. Sustainability ,GreenCharge ,0202 electrical engineering, electronic engineering, information engineering ,education ,Expert system ,computer.programming_language ,education.field_of_study ,business.industry ,Ontology ,05 social sciences ,Web Ontology Language ,Business Model evaluation ,020201 artificial intelligence & image processing ,business ,computer ,Semantic ,050203 business & management - Abstract
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.
- Published
- 2022
- Full Text
- View/download PDF