Apparatus and Method of Ubiquitous Context-Aware Agent Based On Sensor Networks

A method of context-awareness using a ubiquitous context-aware agent based on a sensor network comprising:

• detecting sensing-data related to a real world collected through a sensor platform, and transforming the sensing-data to context information by analyzing a meaning of the sensing-data;
• determining whether a value of the transformed context information is in a normal range or not if the type of the transformed context information is an environmental context;
• setting an urgent flag, storing corresponding context information and transferring the context information to a service provider if the value of the transformed context information is not in the normal range;
• integrating context information, storing corresponding context information, filtering the stored context information and transmitting the filtered context information to a service provider if the value of the transformed context information is in the normal range;
• analyzing a relation between a moving object and a static object if the type of the transformed context information is a position context, detecting an intentions of a user according to a position, and determining whether it's value is in a normal range or not;
• and
• integrating context information, storing corresponding context information, filtering the stored context information and providing the filtered context information to a service provider if the value is in the normal range.

A method of inferring a position context in a context-aware method using a ubiquitous context-aware agent based on a sensor network, the method comprising:

• determining a type of an object through monitoring context information in real time, and creating an object model and an object area model if the type of the object is a static object;
• detecting a qualitative state if the type of the object is a moving object in the operation of the determining and creating or if the object model and the object area model are created in the operation of the determining and creating;
• generating a qualitative state message based on the detected qualitative state and storing the generated qualitative state message;
• generating an object relation message by inferring an object relation using the qualitative state message and storing the generated object relation message;
• and
• generating a semantic model using the stored object relation model, generating a semantic model message according to the generated semantic model and storing the semantic model message.