Abstract
Abstract. POI data is a geographical information resource that is the most closely related to the public life, and has been successfully applied in various fields such as urban planning, urban logistics, and car navigation. With the development of technologies such as mobile networks and Internet of Things, the network contains a large number of high-value POI information resources. How to effectively acquire and utilize data resources has become a research hotspot in the field of spatial information. In this paper, a deep-web POI information search method based on independent coverage ranking and spatial adaptive partition is proposed to solve the problems of difficult construction of retrieval word base and limited data request. By constructing candidate search terms, searching greedily, optimizing dimensionality reduction of search terms, and crawling spatially adaptive partitioning, the maximum coverage optimal solution of POI search is approached step by step, and the full POI information of deep web is obtained. It is of great significance to improve the recall rate and collection efficiency of POI data for enriching geographic information resources and improving the ability of spatial information service and content management.
Highlights
In recent years, with the rapid development of information technology, mobile communication technology and so on, the demand of location-based service rises sharply, and the data containing location information presents explosive growth in personal information service, scientific research and other fields
In order to solve these problems, this paper proposes a deep-web POI information search method based on independent coverage ranking and spatial adaptive partitioning
Through the main processes of preliminary construction of candidate search terms, searching greedily, optimizing dimensionality reduction of search terms, and crawling spatially adaptive partitioning, this method uses gradually approaching POI search. the maximum coverage optimal solution of POI search is approached step by step, and the full POI information of deep web is obtained., which is of great significance for enriching geographic information resources, improving spatial information services and content management
Summary
With the rapid development of information technology, mobile communication technology and so on, the demand of location-based service rises sharply, and the data containing location information presents explosive growth in personal information service, scientific research and other fields. In order to solve these problems, this paper proposes a deep-web POI information search method based on independent coverage ranking and spatial adaptive partitioning. The maximum coverage optimal solution of POI search is approached step by step, and the full POI information of deep web is obtained., which is of great significance for enriching geographic information resources, improving spatial information services and content management. This paper proposes a deep-web POI information search method based on independent coverage ranking and spatial adaptive partitioning. The method can get the full amount of POI information of deep network through the main processes of preliminary construction of candidate search terms, greedy search, optimization of search terms, dimensionality reduction, spatial adaptive partitioning and crawling, the maximum coverage optimal solution of POI search is approached step by step.
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