Using ontology and rules to retrieve the semantics of disaster remote sensing data

Remote sensing data plays an important role in natural disaster management.However,with the increase of the variety and quantity of remote sensors,the problem of“knowledge barriers”arises when data users in disaster field retrieve remote sensing data.To improve this problem,this paper proposes an ontology and rule based retrieval(ORR)method to retrieve disaster remote sensing data,and this method introduces ontology technology to express earthquake disaster and remote sensing knowledge,on this basis,and realizes the task suitability reasoning of earthquake disaster remote sensing data,mining the semantic relationship between remote sensing metadata and disasters.The prototype system is built according to the ORR method,which is compared with the traditional method,using the ORR method to retrieve disaster remote sensing data can reduce the knowledge requirements of data users in the retrieval process and improve data retrieval efficiency.

A New Equipment Management Framework Based on Grid of Things

This paper describes the core of an equipment on grid of things. The framework supports sensor, wire management framework less network and intellig offering general functionality based ＂ent control system based on services and service features. The framework is more generic than traditional hierarchical equipment management frame- work. It supports sensor, actuator and wireless networks. In the framework, techniques of spontaneous service provi- sion, grid, scene-aware, semantic reasoning, and equipment service management are smoothly synthesized. It ena- bles equipments in grid of things to interact automatically, provides semantic-integration equipment status aware- hess, and supports meta-service management based adaptability and scalability