Active situation awareness framework for social network services

Awareness computing aims at our final goal in computer science to simulate human´s awareness and cognition. Technical approaches to model the awareness in human have contributed to the current awareness system together with semantic technology. Usually awareness can be achieved by a framework with multiple layers: perception of information from data in the world, comprehension of the perceived information, and projection based on the comprehended situations. The current awareness system cannot dynamic and active awareness of situation, and we provide a novel architecture for active situation awareness to integrate the existing system layers. Active situation awareness for the cases of social network services (SNS) is illustrated. Perception by mining SNS data using TF-IDF, comprehension of the information by inference of ontology and rule, projection of new suggest by rule inference are explained. Finally system architecture and evaluation of the system are introduced. Our new framework shows more enhanced situation awareness system and new vision of awareness computing.