In the era of information explosion, information retrieval has become a bottleneck in information sharing and integration. However currently, the existing information retrieval methods are mainly based on keywords matching, which can not fully take advantage of the information context and potential knowledge. Although in the later researches, Geo-ontology has been used to enrich geospatial objects with semantic information which could be very helpful in the geospatial information retrieval, these researches have rarely considered the key feature of geospatial information-the complex spatial relationship. The researches focused on the general concept and primarily from the perspective of vocabulary describe the geographic information, which can not be used to describe the spatial relationship of geographic information and lack of support for retrieval of spatial relationship of geographic information. In this paper, we propose a new approach for geographic information retrieval, we have established the topology and direction and distance spatial relation of geographic information. Firstly, we analysis the shortcomings of current geographic information retrieval methods, and use a case to illustrate the shortcomings of current retrieval methods. Secondly, we analysis the spatial properties and non-spatial properties of semantic relation, and proposed that uses to describe geographic information of spatial relations of Attribute Relational Graph-ARG. Thirdly, according to the reference ontology, using Geo-ontology Building Algorithm-GOBA to build the geographic ontology instance. Finally, take the DALIAN Bay land utilization ontology as the example to show the availability of this method. We have also analysis the approach's merit and deficiency in the conclusions part.
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