摘要：

Abstract:

【Purpose/signficance】Under the context of social sensing data (emotional information, user behavior and event informa⁃

tion), various spatio-temporal data are the portrayal of human sptio-temporl behavior characteristics and regular pattern. Multi-source

heterogeneous data fusion and knowledge organization are carried out to realize emergency management.【Method/process】This paper

defines the connotations of social sensing data for emergencies, furthermore, a space-time semantic model driven by social sensing da⁃

ta is proposed, which including: data acquisition and processing, basic element identification, event class identification and logical rea⁃

soning. Finally, natural disasters (rainstorm) as examples to describe this space-time semantic model.【Result/conclusion】This paper

constructs a general spatio-temporal semantic model for emergencies. By reusing the ontology model, a specific type of emergent geo⁃

graphic ontology can be quickly constructed.【Innovation/limitation】"Social sensing" concept and space-time semantic model pro⁃

posed can be used as a new management mode for the emergency management.