The REThinkWASTE data integration and analytics platform for intelligent waste management

The use of big data has grown rapidly in recent years, finding its way into various fields of use, from medicine to industry, from traffic flow optimisation to environmental protection. In the field of waste management, the European REthinkWASTE 1 project provided the opportunity for research and testing of new methods for intelligent waste management, leading to a better understanding of the problems in this area and solutions to solve them. This paper describes the results obtained in the REThinkWASTE project by exploiting MOMIS (Mediator EnvirOnment for Multiple Information Sources) [4], the open-source data integration system developed by UniMoRe and DataRiver. First, the architecture of the REThinkWASTE data integration and analysis platform and the choices made during the problem analysis phase are described. Next, the technologies used for Key Performance Indicator extraction are described and compared with the alternatives evaluated. The aim of the paper is to provide a valid example of the effectiveness of Big Data management and analysis technologies in a real-world scenario.