A Review on Data Object Modeling based on Context Awareness

This article presents a review of the data object model based on context-awareness.  A new method of data object modelling requires to improve to an innovative level. The data object model should reflect the real-world object that related to one another. Each object should ubiquitously interact with each other and all activity of the object recorded in object storage or memory. Microchip, Nanodevices, Sensors, and Radio-frequency identification are technologies that may help communications within objects in. The data object model based on context-awareness requires to develop more agile, flexible, and dynamic. Elements related to the data object that needs to be retrieved or accessed includes data location, owner, creator, editor, how the data produced, access type, the time the data created, the time the data flow to the network. The data object model needs to have the ability to change or adaptive when users required more detailed information. Ubiquitous computing is a paradigm that empowers each object with the data object, processor, memory, network, sensor devices, and ability to sense the context around the people to communicate, interact and react without human intervention.  Furthermore, in ubiquitous computing, the objects in a system may actively respond to data that is received. In short, the objects may communicate to transfer information with each other. Therefore, it is necessary to enrich the object memory structure to be embedded in every device that interacts with other objects. As the key, Sensors devices are an essential component in Ubiquitous Computing.  The Sensors will recognize, determine the attribute of data that received, and reply to every object that needs the data from the other data object.