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Social media has a potential to be used as a professional and social networking site to share interest. Social media such as Twitter can be used by users to share similar interests on the Internet. Despite the various existing methodologies on ontology, there are many opportunities that need to be explored. The aim of this paper focuses on structuring big data to set up a goal based on ontology to show the dependency relationship between social data and goal. At this stage of the research, we examine user trends on social media based on certain query as this query is defined as a goal. We use NodeXL to obtain and analyze data from Twitter. The results discuss the relationship for data from Twitter in relation to the specific goal. The outcome of this paper will contribute to a significant achievement that provides an important innovation in research methods in big data era to trace how data flows across the social media and how to analyze this data. © 2016 TAF Publishing. All rights reserved.

Using ontology for goal-based query to evaluate social media data