期刊名称:Bulletin of the Technical Committee on Data Engineering
出版年度:2013
卷号:36
期号:3
出版社:IEEE Computer Society
摘要:The availability of enormous volumes of heterogeneous Cyber-Physical-Social (CPS) data streamsallow design and implementation of networks to connect people with essential life resources. We callthese networks Social Life Networks (SLNs). We are developing concepts, technology, and infrastruc-ture to design and build these networks. SLNs will be helpful in addressing several essential societalproblems in everyday life as well as during abnormal situations. A person needs to be connectedto appropriate resources under the given situations and her own persona and context. Situationsshould be detected by using heterogeneous data streams. We are building a software framework forsituation recognition and determining persona and personal context to connect people to resourcesefficiently, effectively, and promptly. We present our research in situation recognition, EventShop,persona building, and making connections using a few example scenarios