A decision Support System for Managerial Decision in Cultural Heritage Sites

the number of connected objects used in our daily lives (smartphones, smart watches, etc.) is constantly increasing. These smart and connected objects usually have a unique identifier and communication, processing and networking capabilities. These smart devices can connect to the Internet, creating a vast network of objects called the "Internet of Things" (IoT). Thus, they can interact (detect and act) with their physical environment.However, the IoT raises many challenges related to its very large scale and high dynamicity, as well as the large variety of the generated data. These issues require the design and development of new systems and techniques to (i) collect and store data from the different smart objects, (ii) process and analyse these data, (iii) assist managers in the decision making process through simplified information. This paper proposes a data stream management system that collect, store, manage, analyse and visualize cultural heritage data. We propose a new data management architecture based on Big Data and cloud computing technologies. The proposed architecture consists of a distributed data management system for the tourism IoT. The proposed architecture addresses the problems of deploying continuous processing tasks automatically and simplify the access to the collected data.