A Unified Access to Heterogeneous Big Data through Ontology-Based Semantic Integration

A tremendous amount of heterogeneous data is produced frequently in different areas due to the rise of Big Data technologies. Such data characteristics might hinder the process of acquiring the utmost value from them. This is because different technologies are used to separately store data that are different in type, yet closely related. Moreover, data may be represented inconsistently even within individual data stores. This is due to different data producers and frequent additions over time. Therefore, there is an urgent need to access big data in a unified and consistent manner to extract the maximum value from them. This paper provides an overview of different approaches proposed to integrate big data sources through a unified semantic model, followed by a proposed approach to semantically integrate graph Big Data.