Research On Geographic Location Aware Mobile Service Technology

In recent years,with the rapid development of mobile Internet technology and positioning technology,location-aware services have brought great convenience to people's lives.However,there exists a worrying "knowledge gap" between geographical location and user needs,such as the lack of query support for spatial relations and semantic relations,hindering further development of location-based aware services.Therefore,the key technologies of location aware mobile services are studied and implemented in this paper.With the combination of semantic understanding,image recognition and specific application services,two key technical problems are solved as follows.(1)Currently,the conventional query technology can not meet the needs of the users under specific situations.How to provide the users with the geographic spatial location query service which has the special semantics becomes a urgent problem.By taking the advantage of good concepts hierarchy and logical reasoning ability of ontology,this paper proposed an ontology-based address reasoning and POI query model in this paper.The model supports the spatial relation query and semantic relation query of the environment resource through the construction of the application ontology in the specific situation and the assistance of the neural network language model.(2)This paper proposed an image representation method based on the similarity of feature points considering the Spatial Pyramid Matching(SPM)approach,which disregards invariance to translation,scale and rotation of visual objects in images.By introducing the calculation model about the similarity of the keypoints,this paper optimize the Spatial Pyramid Matching and the representation of anti-rotation,anti-translation and anti-scaling of image can be obtained.Finally,the accuracy in the mobile client identification about the markers can be improved.In the last part,the corresponding experiments are designed to verify the effectiveness of the two key technical problems.And on this basis,the corresponding mobile application samples are designed and implemented on the Android platform.The results show that the design in this paper is in line with expectation and have certain feasibility.