The present invention relates to a context reasoning method and apparatus. A context reasoning apparatus include a model constructing unit configured to construct a context representation model using spatio-temporal attribute information for a plurality of objects existing in observational space; and a context reasoning unit configured to recognize current context by performing context reasoning based on the context representation model and generating events related to the current context, wherein the context representation model is composed with an observation layer in which temporal attribute and spatial attribute information for the objects is represented, a syntactic layer in which complex information, provided from the information represented in the observation layer, is represented, and a semantic layer in which semantic information, provided through combination and analysis of the information represented in the observation layer and the syntactic layer is represented.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A context reasoning apparatus comprising: a model constructing unit configured to construct a context representation model using spatio-temporal attribute information for a plurality of objects existing in observational space; and a context reasoning unit configured to recognize current context by performing context reasoning based on the context representation model and generating events related to the current context, wherein the context representation model is composed with an observation layer in which temporal attribute and spatial attribute information for the objects is represented, a syntactic layer in which complex information, provided from the information represented in the observation layer, is represented, and a semantic layer in which semantic information, provided through combination and analysis of the information represented in the observation layer and the syntactic layer is represented. 2. The context reasoning apparatus of claim 1, wherein the object comprises at least one from a physical object, an object being represented on a display and an object augmented on mixed reality. 3. The context reasoning apparatus of claim 1, wherein the object is classified into a static object, a semi-static object, a dynamic object and a volatile object according to changes in situational attribute and spatial attribute with time. 4. The context reasoning apparatus of claim 1, wherein the context representation model includes an object knowledge model, a spatial model, a temporal model, and a context model, wherein each of the object knowledge model, the spatial model, the temporal model is represented in a layered structure composed with the observation layer, the syntactic layer and the semantic layer. 5. The context reasoning apparatus of claim 4, wherein the observation layer of the object knowledge model includes identification information and private attribute information of the object, the syntactic layer includes situational information of the object and syntactic relation information between the objects, and the semantic layer includes semantic relation information between the objects. 6. The context reasoning apparatus of claim 4, wherein the observation layer of the spatial model includes map information of the observational space and position and orientation information of the object existing in the space, the syntactic layer includes mereological/topological information in accordance with mutual position between the objects, which is the information provided through combination operation of the information included in the observation layer, orientation information between objects and distance information between objects, and the semantic layer includes semantic relation information representing the information of the observation layer and syntactic layer according to a predetermined spatial relation rule. 7. The context reasoning apparatus of claim 4, wherein the observation layer of the temporal model includes timestamp, the syntactic layer includes interval information and temporal topology information according to a predetermined criteria, and the semantic layer includes relative temporal relation information representing the information of the observation layer and syntactic layer to a predetermined temporal relation rule. 8. The context reasoning apparatus of claim 4, wherein the context model is represented as the semantic layer, and includes context knowledge provided by combining the information included in the spatial model, the object knowledge model and the temporal model and a reasoning rule according to applications and services. 9. A context recognition system comprising: an information gathering apparatus collecting observation data from observational space and obtaining temporal and spatial attribute information for a plurality of objects from the observation data; a knowledge representation and reasoning apparatus constructing a context representation model using the temporal and spatial attribute information, recognizing current context by performing context reasoning based on the context representation model, and generating an event relating to the current context; and a service providing apparatus determining an action to be performed by being corresponded to the event generated by the knowledge representation and reasoning apparatus, wherein the context representation model is composed with an observation layer in which temporal attribute and spatial attribute information for the objects is represented, a syntactic layer in which complex information, provided from the information represented in the observation layer, is represented, and a semantic layer in which semantic information, provided through combination and analysis of the information represented in the observation layer and the syntactic layer, is represented. 10. A context reasoning method for performing context reasoning based on a context representation model composed with an observation layer, a syntactic layer and a semantic layer, the method comprising: generating observation layer information by using observation data collected in real time to observational space; generating syntactic layer information by performing spatial reasoning based on the observation layer information; performing temporal reasoning by using the observation layer information and the syntactic layer information generated at the current point or for a certain period of time; and producing current context information according to a predetermined reasoning rule by combining at least one information of the observation layer information, the syntactic layer information and the information provided according to temporal reasoning, and performing semantic reasoning. 11. The context reasoning method of claim 10, wherein the performing of temporal reasoning performs at least one chosen from an instant analysis using only information at the current point, a short-term analysis analyzing information records for a certain period of time, and a long-term analysis analyzing information records for a long period of time.