From data to wisdom: A new multi-layer prototype for Big Data management process

Actually, massive amount of data is created every day due to the proliferation of free tools such as blogs, social media networks, large-scale e-commerce, websites, etc. to create and to share information. Big Data management and integration has become the core of modern science. It brings benefits for scientific disciplines, business areas by creating a radical shift in the way of managing data. However, existing works lack the flexibility to deal with diverse and changing data sources and the scalability to cope with large streaming data. They just focus on one part of the whole process of big data management (e.g. Storage, Integration, Processing or Knowledge Extraction). For the first time in the literature, this paper proposes a complete novel multi-layer prototype for Big Data management in order to process all the issues of Big Data management from data level to the extracted knowledge exploitation, by introducing semantic technologies to bridge the gap of Big Data Integration by adding flexibility, scalability and richness.