Cognitive Social Knowledge Grid Infrastructure for Collaborative Environments

Collaborative environments are virtual workplaces where agents can communicate, interact and collaborate. We introduce a model to compare different social structures and make a comparison between famous network structure and our goal infrastructure. Based on the differences, the main reasons to present our proposed model are described. Therefore we introduce an infrastructure to support optimized interoperability and propose a novel architecture, called Cognitive Social Knowledge Grid architecture, as a solution to perform information and knowledge operations through interaction and collaboration of humans and machines. CSKG services and mechanisms have been described and relationship models of CSKG components and services have been presented using UML. Utilizing capabilities of social network services, user profiles information, social culture and operational environment, CSKG collaboration management services form a community to perform an activity. Ultimately, CSKG performance and execution capabilities in large-scale collaboration networks have been evaluated. Furthermore, community formation based on user profiles similarities and social culture like trust and commitment is argued using weighted cosine similarity function.