Space Intelligence

  • Space intelligence-based service providing in a hyper-connected society by autonomous IoT objects – WHY?

    • As our society is hyper-connected, billions of distributed smart objects are connected to each other and share their data with anything, anytime, anywhere in IoT environments. To enable the hyper-connection, existing IoT frameworks collect IoT big data to a cloud server and statistically analyze the embodied characteristics. However, this approach may cause an information loss, a system overhead, or eventually, the cloud server may become a single-point-of-failure. To prevent the information loss and guarantee system scalability, it is necessary to separate IoT data and services by a smaller but meaningful unit. The ‘meaningful unit’ here indicates a unit in which user intentions rise and surrounding smart objects collaborate to support them. In this project, we define a ‘place’ as the meaningful unit which keeps the IoT data and services in a manageable size. To realize this goal, we need to develop a technology that distributed intelligent objects determine situations themselves based on the knowledge accumulated in the space and autonomously collaborate with other objects.
  • The need for user intention detection and service optimization technologies through autonomous collaborations among space intelligence-based smart objects

    • The IoT framework should provide services of each smart object according to various users’ intention without having to consider seriously how to use intelligent objects because it is too large scale for users to directly control smart objects in a surrounding space by their intention and it is necessary to know a preliminary knowledge about object services in the space. Also, a more advanced level of space intelligence is required to perform an adaptive service providing like: the composition of intelligent objects included in the space changes, the existing service providing method also be converted. Therefore, automated / streamlined /optimized technologies that provide user-preference services by cooperating adaptive intelligence objects with each other in real time based on a knowledge which accumulated in the space in large scale are needed.System Architecture




  • Lists of space intelligence based self-adaptive technologies which help that distributed intelligence objects learn and optimize collaboration method autonomously for providing user-preference services by understanding space changes and users’ intentions in dynamic IoT spaces:

–     An ontology-based Intelligent Object Situation Information Extension and Collaborative Situation Recognition Technology for Accurate Space Context Awareness

–     A Space Intelligence Big Data-based Continuous Space Knowledge Self Evolution Technology

–     A Users community – based Persona Generation Technology for Users’ Intention Identifying and Tracking in Space

–     An Autonomous Recombination Technology of Objects Collaboration Services according to Users’ Intentions and Changing States of Intelligent Objects in Space

–     An Object Collaboration Attribute based Intelligent Messaging Technology for Optimizing Collaboration between intelligent objects

–     An Adaptive Object Collaboration Modeling and Optimization Technology to Provide Optimum Objects Collaboration Services by Understanding of Space Changes

–     Identification of Various Intelligent Object Collaboration Services Scenarios and IoT Testbed based Demonstration in Autonomous Collaboration Spaces

System modules