Name
Title | ||
|---|---|---|
Semantic and knowledge based support to business model evaluation to stimulate green behaviour of electric vehicles' drivers and energy prosumers. |
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s12652-021-03243-4 | Journal of Ambient Intelligence and Humanized Computing |
DocType | Volume | Issue |
Journal | 13 | 12 |
ISSN | Citations | PageRank |
1868-5137 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Beniamino Di Martino | 1 | 1287 | 141.47 |
| Dario Branco | 2 | 0 | 0.34 |
| Luigi Colucci Cante | 3 | 0 | 0.34 |
| Salvatore Venticinque | 4 | 694 | 74.23 |
| Reinhard Scholten | 5 | 0 | 0.34 |
| Bas Bosma | 6 | 0 | 0.34 |