Study On The Method Of Matching And Fusion Based On The Multi-source POI Data

As early times with Googl-Earth and internet tile map, the freshness which abovebrought to people has gradually decreased, the era has passed as electronic map browsingonly meet people’s needs or as the background, now people put forward higher demand forlocation service, the map also an urgent need to integrate into to the public’s daily life.POI data is the most important content of network electronic map,and also is foundationof Internation Location Based Service. Since POI data source on the internet has manydifferent origins, the otherness of acquisition and processing eventually led to the data existcertain differences in spatial location, attribute information and richness of data, so how toeliminate the inconsistency effectively between them and organise them into a set withaccurate content and available data has become a research focus. As the low efficiency anduncertain accuracy in multi-source data fusion process, this paper offered a kind ofmulti-source POI position correction method, which based on control pointsautomatic-extraction by grid division, improve the accuracy and efficiency of multi-sourcespatial position POI fused effectively.1) Firstly, analyzed and summarized the background and reasons on the causes ofinternet multi-source data,and then discussed and compared technology research status bothhere and abroad of multi-source data.2) Mainly introduced several methods of multi-source spatial data fusion, including thematching process transformation model and geographic entity based on geometric coordinates,classification and attribute coding and text similarity computing method,and analysised andresearched on the characteristics and shortcomings of the methods.3) Introduces an internet map POI data automatically extracting method, through thestudy on characteristics of POI data and internet webpage http content organization forms,program to realize automatic analysis and storage technology of POI; studying the researchPOI interest points classification system of large scale map website in domestic and foreign,with its advantages and disadvantages to establish a set of more complete POI classificationsystem.4) As the low efficiency and uncertain accuracy in multi-source data fusion processusing traditional control points selection methods, offered a kind of multi-source POI positioncorrection method, which based on control points automatic-extraction by grid division, usingthe Chinese semantic matching method to automatic obtain control points and check pointswithin each grid, calculated the coordinate transformation parameter of corresponding gridwith the polynomial transform and error elimination, finally, the accuracy of the calculationresults were evaluated. 5) Finally, based on the ticket data of Shanghai as an example to do the experiment, theexperimental results achieved the expected results and have a high degree of accuracy andefficiency.