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1.
随着湛江市地理信息服务平台的建立,其核心数据库需进一步进行完善。基于全要素基础地形图、影像数据、地质、规划、管线信息和基础地名数据,构建地名地址数据库,为湛江市地理信息服务平台电子地图提供基础地理信息框架信息。本文论述了地名地址模型构建、编码原则,数据库设计及更新,并介绍地名数据库的应用情况。  相似文献   

2.
一种基于地址分词的自动地理编码算法   总被引:3,自引:0,他引:3  
针对我国多数城市地名/地址表述的不规范性,基于可伸缩地址模型提出地理编码数据库的构建方案,设计一种基于地址分词的自动地理编码算法.首先根据地理编码库编制地址词典,利用地址词典对地名/地址进行地址分词,形成地址要素及其级别;然后再对地址要素及其级别组合形成查询条件到地理编码库中进行匹配;最后分析影响这种地理编码算法精准度...  相似文献   

3.
“数字湖北”中文地理编码数据库建设与服务共享   总被引:1,自引:1,他引:0  
针对"数字湖北"地理空间框架建设,探讨了适合于湖北省省情的中文地理编码技术,将湖北省现有的地址实体进行空间化、规范化,建立标准化的地址数据库,并实现了湖北省中文地理编码服务共享。以标准地址数据库为基础,通过发布可供标准REST接口调用的中文地理编码服务来满足用户的需求。  相似文献   

4.
吕欢欢  宋伟东 《测绘科学》2015,40(3):96-100
针对数字城市地理空间框架建设中地址匹配的具体需求和现存中文地址匹配方法中存在的问题,该文提出一种多元地址要素组合的地址匹配方法:分析地名地址数据的分词方法和作为参考数据的地址编码库的物理结构;给出组合策略和匹配流程,针对地址要素的不同重要程度分配权重,计算不同组合中各地址要素相似性匹配指数,并采用加权求和方式获得匹配总分;并以城市地址编码数据库为参考数据,工商领域监管对象地名地址数据为输入地址对提出方法进行实验和验证,与其他匹配算法对比的结果表明,提出算法有效、正确、灵活。  相似文献   

5.
本文以"智慧宁波"地理信息共享服务平台中地名地址数据建设为例,深入分析和探讨地理信息共享服务平台下地名地址数据的建设思路、数据标准、地址编码、数据共建共享,建成了宁波全市统一标准、结构合理、安全稳定的地名地址数据,并通过对外提供数据服务接口等服务形式在民政、公安、城市网格化管理等诸多领域取得广泛应用,全面提升了宁波市地理信息公共服务能力和水平。  相似文献   

6.
地名地址数据库属于基础地理信息数据库,是构成数字城市地理空间框架不可或缺的重要组成部分,随着我国数字城市的逐步推进,城市建设和管理工作对基础地理信息的需求日益增加,地名地址数据库的建设和更新工作显得尤为重要。面对当前城市发展日新月异的现状,如何有效地提升数据完整性、时效性以及权威性成为数据库更新工作中必须解决的问题。本文以德州市地名地址数据库更新项目为例,指出外业调查中存在的数据问题,在对多来源地名地址数据进行广泛收集,分析这些数据的空间特征、时间特征以及利用方式的基础上,提出基于多源数据集成的数据库建设思路,利用地名地址匹配技术及人机交互的方式将官方资料与调查数据进行有机融合,并详细地从数据体系化检核、地名地址拓展、名称标准化3个方面进行阐述。项目成果表明,数据的质量明显提升。  相似文献   

7.
结合重庆山地城市特点,研究了重庆标准地址要素分类、组合模式及层次关系。基于此模型对覆盖重庆主城600平方千米的40万条地址数据进行分词、分层,建设地址数据库。在应用方面,对卫生、教育、事业单位等行业专题数据进行地址匹配,为政务地理信息提供良好的服务支撑。  相似文献   

8.
现有重庆市地址模型存在地址不完整、歧义、口语化等弊端。以南岸为例,针对现有数据特点,围绕地址数据库建设及地理编码的需求,归纳非结构化中文地址的特点,优化现有地址要素结构。提出了基于中文语义的地址模型构建方法,建立要素间拓扑关系,增加上下文约束力,引入支持向量机,有效避免中文自然语言表达歧义,提高地址解析的准确度和效率。  相似文献   

9.
地址数据的规范化表达是地理编码的前提。首先,通过设计地址要素层次模型,建立地址要素词典库,并存储地址要素名称、地址通名、地址专名、地址要素类型编码等,用于地址要素拆分;其次,采用首次取两个字、再逐次加一字的地址通名切分方法对原始地址数据进行地址要素拆分和规范化,弥补了常用的最大正向分词算法中M系数难以确定的不足,避免了没有意义的循环,提高了查找效率和准确率。最后,基于地址要素组合规则对拆分后的地址要素进行重构获得规范化的地址。  相似文献   

10.
为建成福建省警用地理信息系统的标准地址矢量库与数据采集工具,本文根据警用地理信息的建设要求,基于福建省公安部门信息化现状,研究并设计了一套适用性强、投资少、面向全省责任区民警的、提供在线与离线相结合的、用于地址坐标采集的福建省地址标注系统。该系统运行以来,已成功采集了大量的地址数据,并将逐步建成福建省标准地址矢量数据库与专题矢量数据库。  相似文献   

11.
With the increased use of locational information, spatial location referencing and coding methods have become much more important to the mining of both geographical and nongeographical data in digital earth system. Unfortunately, current methods of geocoding, based on reverse lookup of coordinates for a given address, have proven too lossy with respect to administrative and socioeconomic data. This paper proposes a spatial subdivision and geocoding model based on spatial address regional tessellation (SART). Given a hierarchical address object definition, and based on the ‘region of influence’ characteristics of an address, SART creates multiresolution spatial subdivisions by irregular and continuous address regions. This model reflects most of the geographical features and many of the social and economic implications for a given address. It also better reflects the way people understand addresses and spatial locations. We also propose an appropriate method of geocoding for standard addresses (SART-GC). The codes generated by this method can record address footprints, hierarchical relationships, and spatial scales in a single data structure. Finally, by applying our methods to the Shibei District of Qingdao, we demonstrate the suitability of SART-GC for multi-scale spatial information representation in digital earth systems.  相似文献   

12.
随着我国城市化和信息化的发展,地址编码已经成为建设数字城市的基础工作。地址匹配是地址编码的关键环节,但面临着中文地址分词困难的问题。本文基于Lucene检索引擎,结合三叉树分词词典机制和基于规则的地址分词技术,设计了具有地址分词和地址匹配功能的地址匹配引擎,并构建了Rest风格的在线地址匹配服务,取得了良好的应用效果。  相似文献   

13.
地址匹配是地理编码过程中一个关键环节,是实现数据空间化的关键技术之一。针对当前中文地址匹配方法的精确率、匹配率和时间开销不能兼顾的问题,本文提出了一种多策略中文地址匹配方法。通过建立轻量级的词典进行中文地址分词,同时构建多叉树存储分词后的地址数据,匹配过程中结合模糊匹配和层级回溯匹配共同完成地址匹配工作,最终基于真实数据进行了试验。试验结果表明,该方法在匹配率、精确率和时间开销3个指标上较当前其他匹配方法表现得更加均衡。  相似文献   

14.
Geocoding urban addresses usually requires the use of an underlying address database. Under the influence of the format defined for TIGER files decades ago, most address databases and street geocoding algorithms are organized around street centerlines, associating numbering ranges to thoroughfare segments between two street crossings. While this method has been successfully employed in the USA for a long time, its transposition to other countries may lead to increased errors. This article presents an evaluation of the centerline‐geocoding resources provided by Google Maps, as compared to the point‐geocoding method used in the city of Belo Horizonte, Brazil, which we took as a baseline. We generated a textual address for each point object found in the city's point‐based address database, and submitted it to the Google Maps geocoding API. We then compared the resulting coordinates with the ones recorded in Belo Horizonte's GIS. We demonstrate that the centerline segment interpolation method, employed by the online resources following the American practice, has problems that can considerably influence the quality of the geocoding outcome. Completeness and accuracy have been found to be irregular, especially within lower income areas. Such errors in online services can have a significant impact on geocoding efforts related to social applications, such as public health and education, since the online service can be faulty and error‐prone in the most socially demanding areas of the city. In the conclusion, we point out that a volunteered geographic information (VGI) approach can help with the enrichment and enhancement of current geocoding resources, and can possibly lead to their transformation into more reliable point‐based geocoding services.  相似文献   

15.
Today, many services that can geocode addresses are available to domain scientists and researchers, software developers, and end‐users. For a number of reasons, including quality of reference database and interpolation technique, a given address geocoded by different services does not often result in the same location. Considering that there are many widely available and accessible geocoding services and that each geocoding service may utilize a different reference database and interpolation technique, selecting a suitable geocoding service that meets the requirements of any application or user is a challenging task. This is especially true for online geocoding services which are often used as black boxes and do not provide knowledge about the reference databases and the interpolation techniques they employ. In this article, we present a geocoding recommender algorithm that can recommend optimal online geocoding services by realizing the characteristics (positional accuracy and match rate) of the services and preferences of the user and/or their application. The algorithm is simulated and analyzed using six popular online geocoding services for different address types (agricultural, commercial, industrial, residential) and preferences (match rate, positional accuracy).  相似文献   

16.
地址数据标准化是标准地址库建设的重要环节。本文研究了地址数据标准化的数据转换、要素分级、地址编码等关键技术及其基于FME的技术实现,并将其应用于标准地址库建设,实现了海量地址数据的批量标准化处理。  相似文献   

17.
Geocoding has become a routine task for many research investigations to conduct spatial analysis. However, the output quality of geocoding systems is found to impact the conclusions of subsequent studies that employ this workflow. The published development of geocoding systems has been limited to the same set of interpolation methods and reference data sets for quite some time. We introduce a novel geocoding approach utilizing object detection on remotely sensed imagery based on a deep learning framework to generate rooftop geocoding output. This allows geocoding systems to use and output exact building locations without employing typical geocoding interpolation methods or being completely limited by the availability of reference data sets. The utility of the proposed approach is demonstrated over a sample of 22,481 addresses resulting in significant spatial error reduction and match rates comparable to typical geocoding methods. For different land‐use types, our approach performs better on low‐density residential and commercial addresses than on high‐density residential addresses. With appropriate model setup and training, the proposed approach can be extended to search different object locations and to generate new address and point‐of‐interest reference data sets.  相似文献   

18.
利用Web挖掘技术改善公众网络地图查询服务   总被引:2,自引:2,他引:0  
针对影响公众网络地图查询服务质量的一些因素,提出利用Web挖掘技术来加以改善,这主要体现于三个环节:从万维网中发现并提取地址信息以扩充空间数据库;通过对扩充后的数据库进行空间分析与推理来增强查询功能;根据分析用户查询日志来指导数据采编工作以及提供针对性的查询服务。在文章的最后给出了原型系统的设计框架与试验实例。  相似文献   

19.
在对标准地址库系统进行设计的基础上,详细阐述了标准地址共享服务平台——"一库三平台"的系统设计思路。建立了杭州市标准地址共享服务平台,即"一库三平台",具体为:一个数据库——标准地址库,三个服务平台——标准地址云服务平台、标准地址监控管理平台、标准地址应用服务平台;该系统为杭州市各级政府各业务部门地理信息应用提供了统一的标准基础信息数据和标准地址库服务;同时,利用地址匹配与业务关联采集技术,实现业务信息资源与标准地址库的有机关联,实现了业务信息数据海量存储与应用,为政府及社会公众在工作和生活中提供翔实的检索、定位信息和云平台服务。  相似文献   

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