Ontology-based dynamic data gathering of geographic information services

The geographic information service applications are getting more and more closely interconnected with the real-time industries and businesses recently. It becomes an urgent problem to gather business information from various industries directly. In this paper, we present an ontology-based dynamic data gathering method of geographic information services, which can extract instant information from MIS or similar systems of different commercial companies and organizations. We advanced the dynamic information ontology standard for industries to support the interoperability of the distributed and heterogeneous MIS and GIS databases. Then we collected information from various industries on-line by using Web Service technology, and integrated it with urban digital maps. In addition, the industry information is interconnected and aggregated through searching and data aggregation technologies. Based on these works, a multi-layers service framework is given and its detail functions are discussed.