發(fā)布時(shí)間：2018-05-24 03:24

  本文選題：地名 + 地址��； 參考：《南京師范大學(xué)》2015年碩士論文

【摘要】：隨著空間位置信息在社會(huì)信息關(guān)聯(lián)應(yīng)用中的逐步推廣,應(yīng)用的需求更加復(fù)雜,對(duì)空間位置數(shù)據(jù)服務(wù)的準(zhǔn)確性要求進(jìn)一步提高,空間位置數(shù)據(jù)集成管理與服務(wù)的必要性愈發(fā)強(qiáng)烈。地名、地址和興趣點(diǎn)作為空間位置信息重要的組成部分,在公安、民政、測(cè)繪等部門有著廣泛的業(yè)務(wù)應(yīng)用,它們?cè)谡Z(yǔ)義描述、幾何位置、時(shí)間序列等方面有著緊密的內(nèi)在一致性。因此,集成地名、地址、興趣點(diǎn)是解決現(xiàn)有空間位置數(shù)據(jù)服務(wù)問(wèn)題的一項(xiàng)重要內(nèi)容。本文針對(duì)現(xiàn)有地名、地址、興趣點(diǎn)數(shù)據(jù)之間關(guān)聯(lián)關(guān)系缺失、數(shù)據(jù)管理分散、數(shù)據(jù)服務(wù)單一等問(wèn)題,圍繞“數(shù)據(jù)關(guān)聯(lián)-數(shù)據(jù)管理.數(shù)據(jù)服務(wù)”的技術(shù)路線,重點(diǎn)研究多元空間位置數(shù)據(jù)關(guān)聯(lián)與檢索方法,為多元空間位置數(shù)據(jù)集成管理與服務(wù)奠定基礎(chǔ),為城市規(guī)劃、物流運(yùn)輸、人口管理等空間位置應(yīng)用提供技術(shù)支撐。主要的研究?jī)?nèi)容和成果包括以下三個(gè)方面：(1)多元空間位置數(shù)據(jù)關(guān)聯(lián)與集成：歸納總結(jié)了地名、地址、POI數(shù)據(jù)的數(shù)據(jù)特征和關(guān)聯(lián)關(guān)系,設(shè)計(jì)了多元空間位置關(guān)聯(lián)模型。根據(jù)地名、地址、POI之間的關(guān)聯(lián)性,從語(yǔ)義描述相似性、幾何位置相似性、時(shí)間序列關(guān)系三個(gè)方面,通過(guò)語(yǔ)義描述的相似性,結(jié)合幾何位置的鄰近性及時(shí)間序列關(guān)系的判斷,設(shè)計(jì)了地名與地址、地址與POI的關(guān)聯(lián)方法。以南京市的地名、地址數(shù)據(jù)為例對(duì)關(guān)聯(lián)方法進(jìn)行了實(shí)驗(yàn)驗(yàn)證分析,取得了94.20%的召回率和80.14%的正確率。分析了多元空間位置數(shù)據(jù)在集成管理過(guò)程遇到的管理更新問(wèn)題,設(shè)計(jì)了相應(yīng)的集成管理處理方法。(2)多元空間位置數(shù)據(jù)檢索與服務(wù)：在現(xiàn)有的空間位置數(shù)據(jù)檢索的基礎(chǔ)上,結(jié)合多元空間位置數(shù)據(jù)特點(diǎn),設(shè)計(jì)了適用于多元空間位置數(shù)據(jù)的索引結(jié)構(gòu)。在檢索過(guò)程中,根據(jù)對(duì)檢索信息的解析結(jié)果,組合成不同的檢索條件。并從不同的角度和應(yīng)用需求對(duì)檢索結(jié)果進(jìn)行重排序。并以南京市的地名、地址、POI數(shù)據(jù)為例,對(duì)本文設(shè)計(jì)的多元空間位置數(shù)據(jù)檢索模型進(jìn)行了實(shí)驗(yàn)測(cè)試分析,在開(kāi)放測(cè)試環(huán)境下取得了92.64%的召回率和87.54%的正確率。并按照OGC的WFS-G服務(wù)標(biāo)準(zhǔn)制定了多元空間位置數(shù)據(jù)服務(wù)的接口規(guī)范。(3)多元空間位置數(shù)據(jù)集成和服務(wù)原型系統(tǒng)研發(fā)：在上述研究基礎(chǔ)上,設(shè)計(jì)了多元空間位置數(shù)據(jù)集成和服務(wù)原型系統(tǒng),實(shí)現(xiàn)了多元空間位置數(shù)據(jù)關(guān)聯(lián)、管理和檢索等功能。研究結(jié)果表明,采用基于語(yǔ)義描述相似性和幾何位置相似性相結(jié)合的方法能夠有效的提高多元空間位置數(shù)據(jù)的關(guān)聯(lián)效率；基于全文檢索和空間位置數(shù)據(jù)特征相結(jié)合的多元空間位置數(shù)據(jù)檢索模型能夠提供比傳統(tǒng)的層級(jí)要素檢索和基本的全文檢索更準(zhǔn)確的檢索結(jié)果。
[Abstract]:With the gradual promotion of spatial location information in the application of social information association, the requirement of application is more complex, the accuracy of spatial location data service is further improved, and the necessity of integrated management and service of spatial location data is becoming more and more intense. As an important part of spatial location information, place names, addresses and points of interest are widely used in public security, civil affairs, surveying and mapping departments. They are used in semantic description, geometric location, etc. Time series and other aspects have close internal consistency. Therefore, the integration of place names, addresses and points of interest is an important part of solving the problem of existing spatial location data services. In this paper, we focus on the problems of lack of association relation between the existing toponyms, addresses and points of interest, scattered data management and single data service, etc., which revolve around "data association-data management". The technical route of "data Service", focusing on the research of multi-spatial location data association and retrieval methods, laying the foundation for the integration management and service of multi-spatial location data, for urban planning, logistics transportation, Space location applications such as population management provide technical support. The main research contents and achievements include the following three aspects: (1) Multi-spatial location data association and integration: summarized the data characteristics and correlation relations of place names, address POI data, and designed a multi-dimensional spatial location correlation model. According to the relation between place name and address POI, from three aspects of semantic description similarity, geometric position similarity and time series relation, the similarity of semantic description and the judgment of geometric position proximity and time series relation are combined. The relation method of place name and address, address and POI is designed. Taking the place names and address data of Nanjing as an example, the correlation method is verified and analyzed, and the recall rate of 94.20% and the correct rate of 80.14% are obtained. This paper analyzes the management update problem of multivariate spatial location data in the process of integrated management, and designs the corresponding integrated management processing method .z2) multivariate spatial location data retrieval and service: based on the existing spatial location data retrieval, According to the characteristics of multivariate spatial position data, the index structure suitable for multivariate spatial position data is designed. In the process of retrieval, different retrieval conditions are combined according to the analytical results of retrieval information. The retrieval results are reordered from different angles and application requirements. Taking the location and address POI data of Nanjing as an example, this paper tests and analyzes the multivariate spatial location data retrieval model designed in this paper. The recall rate of 92.64% and the correct rate of 87.54% are obtained under the open test environment. And according to the WFS-G service standard of OGC, the interface specification of multivariate spatial location data service is established, I. e., the integration of multivariate spatial location data and the development of service prototype system: on the basis of the above research, A prototype system of multi-spatial location data integration and service is designed, and the functions of multi-spatial location data association, management and retrieval are realized. The results show that the method based on semantic description similarity and geometric position similarity can effectively improve the correlation efficiency of multivariate spatial location data. The multivariate spatial location data retrieval model based on the combination of full-text retrieval and spatial location data features can provide more accurate retrieval results than traditional hierarchical element retrieval and basic full-text retrieval.
【學(xué)位授予單位】：南京師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：P208

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本文編號(hào)：1927492