Title :
Emergency GIS system based on GML and multi-source spatial data
Author :
Zhu, Fubao ; Yang, Jinrnei ; Guo, Qianqian
Author_Institution :
Sch. of Comput. & Commun. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
Abstract :
With the frequent occurrence of various types of emergencies, construct an emergency GIS system has become a social system project. A large number of spatial data accumulated is stored in distributed heterogeneous GIS systems, and they are in different formats. How to deeply retrieve the information resources in the distributed heterogeneous GIS systems, and integrate these multi-source data, is becoming an urgent problem. In this paper, we propose an emergency GIS system model based on GML and multi-source spatial data. In which, GML is a simple and effective way to solve multi-source, multi-level, multi-dimensional geospatial information interoperability. Ontology-based semantic information retrieval technology can improve the recall and precision of information retrieval. The GIS client can dynamically and transparently read the feature level of spatial data by using the WFS service, and get the results returned in GML format.
Keywords :
geographic information systems; information retrieval; ontologies (artificial intelligence); GML format; WFS service; distributed heterogeneous GIS systems; emergency GIS system; geography information system; geography markup language; information resources; multidimensional geospatial information interoperability; multisource spatial data; ontology-based semantic information retrieval technology; social system project; Data models; Data integration; Emergency; GIS; GML; Spatial data;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014681