ABSTRACT
ABSTRACT Big Data, whether originating from traditional or social media sources, is able to provide hidden insights into our lives to others through data analysis. However, before any meaningful data analysis can occur, the meanings within Big Data must be derived and Big Data must be structured accordingly. In this chapter, we briefly examine the role of social media in terms of cause-effect-solution with its effect on political power and business. An overview of data structuring techniques is given with a proposed feasible database architecture and ontology. Social media case studies are given to show how data generated from them could be structured for easier analysis.
