One semantic data warehouse fits both electrical vehicle data and their business processes

Nowadays, the electric mobility (EM) is one of the most attractive domains. It involves various society´s actors such as politicians, environmental analysts, energy providers, customers, business partners, etc. Offering analytical tools to analyze the EM activities represents a crucial issue for the involved actors. In this paper, we address this issue in the context of the usage of electrical vehicles. We focus on two main actors of EM: the French energy provider EDF and the users of electrical vehicles. EDF is in charge of providing energy power for electrical vehicles equipped with sensors. To understand the behavior of end users, our first contribution is the proposition of a data warehouse solution to store the large amount of data generated by sensors. Due to the heterogeneity of sensors sources, this data warehouse is based on a domain ontology developed in a modular way. An important aspect for EDF is the exploitation of the data warehouse by the means of business processes to obtain indicators, generate invoices, etc. Usually, these processes are defined outside the data warehouse and developed by software engineers. This solution is insufficient in our context, as EDF engineers are regularly designing, modifying and refining indicators. Our second contribution consists in connecting business processes to the domain ontology and then storing them within the data warehouse to avoid costly solutions such as outsourcing or training EDF engineers. Our proposal is implemented in a real scenario developed by EDF.