ABSTRACT
Due to the increase in IoT and sensor network, the generation of data is uncontrollable. This data can be utilized to identify the context of the user only when it is stored using a suitable database and retrieved accordingly. For unstructured and semi- structured data feasible database is a NoSQL database that offers CRUD operations but in the current scenario, it seems like it is insufficient. Some decision-making algorithm is required to create rules. So here in this research work, an attempt has been made to represent unstructured data using context dimension tree, integration of NoSQL database with UnQL, and decision tree which offers almost all operations of SQL. Also, this research work describes the syntax of Unstructured Query Language, provides a pictorial representation of query statements and finally, few queries are been written and the execution part is considered as future work.
