首页|基于实体匹配的互联网餐馆POI数据整合研究

基于实体匹配的互联网餐馆POI数据整合研究

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针对当前互联网地图中POI语义信息现势性差的问题,以南昌市餐馆POI数据为研究对象,采用基于属性与距离的实体匹配方法,对百度地图餐馆POI数据和美团网餐馆数据进行整合研究.利用596条百度餐馆数据和747条美团网餐馆数据进行实验,得到了127条语义信息完备且实时性强的餐馆POI数据.实验结果表明,本文方法可行,为互联网地图的动态更新提供了一种新的途径.整合后的POI数据可以为公众日常出行就餐、商业规划等提供强有力的数据支撑.
Research on Internet Restaurant POI Data Integration Based on Entity Matching
In view of the poor up-to-dateness of POI semantic information in the current internet map, taking the POI data of Nan-chang restaurant as the research object, this paper uses the entity matching method based on attribute and distance to integrate Baidu map restaurant POI data and Meituan restaurant data. Using 596 Baidu map restaurant data and 747 Meituan restaurant data, 127 res-taurant POI data with complete semantic information and strong real-time are obtained. The results show that the method is feasible and provides a new way for the dynamic updating of internet map. The integrated POI data can provide strong data support for public daily travel, dining and business planning.

POIgeographic informationdata matchingmap revisionsmart city

戴鹏

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上海市测绘院,上海 200063

自然资源部超大城市自然资源时空大数据分析应用重点实验室,上海 200063

POI 地理信息 数据匹配 地图更新 智慧城市

上海市"科技创新行动计划"社会发展科技攻关计划(2021)

21DZ1204100

2024

测绘与空间地理信息
黑龙江省测绘学会

测绘与空间地理信息

影响因子:0.788
ISSN:1672-5867
年,卷(期):2024.47(3)
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