Social Media and Web Sensing with Semantic Integration on the Refugee Crisis

Abstract

The refugee crises have been considered as devastating humanitarian incidents throughout human history. They involve forced migrations due to war conflicts, diseases and so on, and are more relevant to nowadays than ever. What changed during the past decades and can be exploited towards greater good is the adoption of web and social media. In this paper, the main focus delves around smart retrieving of information from online sources, such as Twitter, YouTube and culturally-dedicated websites to provide cultural experts with relevant multimedia. The final scope is to build immersive experiences about migrant stories for local communities towards a more inclusive Europe. Moreover, semantic web technologies are deployed to homogenize multi-modal data and metadata into a unified knowledge graph including ontological structures for precise annotations. Additionally, this enables knowledge extraction and insights acquisition from implicit relationships. Finally, a system-wise benchmark for all utilities is showcased to evaluate each framework distinctly.