Semantic Big Data integration: A survey

Hassiba, Laifa; Raoudha, Khcherif; Henda, Hajjami Ben Ghezala

المجلة الجزائرية للعلوم
Volume 7, Numéro 14, Pages 109-112
2021-06-03

Semantic Big Data Integration: A Survey

Authors : Hassiba Laifa . Raoudha Khcherif . Henda Hajjami Ben Ghezala .

Abstract

The emergence of Big Data has increased the amount of daily produced data. These data are in various formats namely: email, audio, video and structured/unstructured text data, etc. In fact, traditional databases and software techniques cannot handle such huge and heterogeneous information. Therefore, new data management systems should be adopted to integrate this distributed data and to abstract this heterogeneity. In this context Semantic Web (SW) technology, especially ontologies were widely used in the data integration system to eliminate semantic data heterogeneity. Mining the state of the art, two main techniques exist, physical and virtual data integration. In this context, several research works around the aforementioned methods were proposed. In this paper, we studied the most relevant research works in the semantic Big Data integration area. In fact, we performed a comparative study and its discussion of the different approaches proposed to achieve both physical and virtual techniques.