發(fā)布時間：2018-10-29 20:39

【摘要】：隨著地理信息服務應用的拓展，越來越多的企業(yè)和組織將自己擁有的地理空間數(shù)據(jù)和軟件功能開放為地理信息服務供人們使用，有效地促進了地理信息的共享和功能復用，也使得地理信息服務的數(shù)量劇增。當前，用戶只能通過關鍵字搜索并結合空間過濾條件查詢OGC的目錄服務，發(fā)現(xiàn)所需的數(shù)據(jù)和服務。用戶在受益于目錄服務帶來的資源搜索便捷的同時，經(jīng)常受到查全率和查準率不高的困擾。面對日益龐大的服務群，如何自動、快速、準確地發(fā)現(xiàn)目標服務，成為影響地理信息服務進一步發(fā)展與應用的瓶頸。本文引入信息檢索技術、語義網(wǎng)技術、語義服務技術，從基于地理概念匹配的語義標注算法、面向SOA框架的OWS服務與WSDL服務描述融合策略、基于DL概念描述的空間語義相似性度量模型以及融合相似性度量與包含性推理的語義匹配與服務發(fā)現(xiàn)四個方面進行了深入研究。論文在基于語義標注的地理信息服務的理論方法和關鍵技術上取得了一些成果，主要工作和創(chuàng)新點如下： 1．分析了地理信息語義服務的背景、意義以及相關理論和技術基礎。從地理信息語義服務模式轉變、地理信息服務集成與共享中存在的問題出發(fā)，對基于語義標注的地理信息服務研究進展進行了分析與思考，在此基礎上指出利用語義標注技術實現(xiàn)地理信息服務語義模式研究的重要意義和廣泛的應用前景。論文研究了基于語義標注的地理信息服務理論方法基礎和關鍵技術，提出了面向語義標注的地理信息服務框架和方法體系，總結了語義模式的地理信息服務匹配與發(fā)現(xiàn)方法。 2．為了實現(xiàn)服務的多本體標注，創(chuàng)建了面向服務語義標注的地理本體三層架構，利用本體工程化的方法，開發(fā)了面向語義標注的領域本體與應用本體，建立了輕量級的應用本體開發(fā)模式；同時，基于PageRank算法，顧及地理本體概念圖結構對現(xiàn)有地理信息服務語義標注算法進行了優(yōu)化，設計了服務語義標注抽象模型與標注工作流，提高了語義標注的自動化程度；在此基礎上，提出了OWS服務與WSDL服務描述相融合的策略，解決了兩者語法不一致問題，建立了OGC服務概念模型的WSDL映射方法，由此實現(xiàn)OGC與W3C網(wǎng)絡服務標準的集成。 3．設計了融合多種本體概念語義的空間語義相似性度量框架，提出了基于DL概念描述的空間語義相似性度量模型，驗證了模型的適應性和有效性。從服務語義相似性度量的應用需求出發(fā)，并總結了前人有關語義相似性計算的研究成果，由此設計了概念層次空間語義相似性度量框架，并基于該框架，提出面向DL概念描述的空間語義相似性度量方法，獲取概念層次的空間語義相似度排序；最后設計了概念相似性實驗測試，且實驗結果證明，在人類相似性排序和空間語義相似性度量方法獲取的排序結果之間高度相關，驗證了本文空間語義相似性度量方法的可行性。 4．提出了基于空間語義相似性度量模型的包含性推理機制，建立了混合模式的服務語義匹配與發(fā)現(xiàn)算法，提高了服務發(fā)現(xiàn)的效率。首先，描述了OGC目錄中實現(xiàn)的標準服務發(fā)現(xiàn)方法，提供了OGC目錄框架規(guī)范的詳細內(nèi)容，總結了OGC目錄中服務發(fā)現(xiàn)機制的局限性；在此基礎上，提出了融合相似性度量模型與包含性推理的混合模式服務語義匹配算法，以期解決現(xiàn)有服務發(fā)現(xiàn)方法中存在的問題；同時，描述了服務語義發(fā)現(xiàn)引擎與OGC開源目錄的集成模式，實現(xiàn)了基于WSML的查詢目標定義與服務語義匹配算法的語義查詢擴展，并給出了語義目錄的整體框架設計與實施策略。 5．構建了基于語義標注的地理信息智能服務原型系統(tǒng)，，針對智能交通動態(tài)信息共享服務進行了應用實驗，驗證了技術方法的可行性和實用價值。建立了支持服務語義標注、服務注冊、語義目錄管理、服務匹配與發(fā)現(xiàn)的集成實驗環(huán)境，并探索了其在智能交通動態(tài)信息共享服務中的應用；基于Liferay Portal開源門戶網(wǎng)站平臺，進行了應用實驗系統(tǒng)服務門戶開發(fā)，借助OGC目錄服務語義接口，實現(xiàn)了道路交通信息服務集成發(fā)布、語義搜索、匹配與發(fā)現(xiàn)；并面向交通流量監(jiān)測應用用例，進行了智能交通流量信息的動態(tài)發(fā)布與共享實驗，驗證了本文提出基于語義標注技術的語義模式地理信息智能服務框架的實用價值。
[Abstract]:With the development of geographical information service application, more and more enterprises and organizations open their own geographical spatial data and software functions into geographical information services for people to use and effectively promote the sharing and functional multiplexing of geographical information, and also increases the number of geographic information services. Currently, users can only search and query OGC directory services through keyword search and spatial filtering conditions to discover the required data and services. Users benefit from the search for the resources brought by the directory service, and often suffer from the high check-up rate and the check-up rate. Facing the increasing service group, how to automatically, quickly and accurately discover the target service becomes the bottleneck affecting the further development and application of the geographic information service. In this paper, information retrieval technology, semantic web technology, semantic service technology, semantic annotation algorithm based on geographic concept matching, OWS service oriented to SOA framework and WSDL service description fusion strategy are introduced. The spatial semantic similarity measurement model based on the DL concept and the semantic matching and service discovery of the inclusion reasoning are deeply studied in four aspects. In this paper, some achievements have been made in the theoretical method and key technology of geographic information service based on semantic annotation, and the main work and innovation points are as follows: 1. The background, significance and related theory and technology of geographic information semantic service are analyzed Based on the problems existing in geographic information semantic service mode transition, geographic information service integration and sharing, the research progress of geographic information service based on semantic annotation is analyzed and analyzed. On the basis of this, it is pointed out that using semantic annotation technology to realize the semantic model of geographic information service is of great significance and extensive application The paper studies the base and key technology of geographic information service theory based on semantic annotation, and puts forward a semantic-oriented geographic information service framework and method system, and summarizes the matching and discovery of geographic information service based on semantic model. Method 2. In order to realize the multi-ontology dimension of the service, a three-tier architecture of geographic ontology oriented to service semantics is created, and the domain ontology and application ontology oriented to semantic annotation are developed by using the ontology engineering method, and a lightweight application ontology development is established. At the same time, based on the PageRank algorithm, the semantic annotation algorithm of the existing geographic information service is optimized with regard to the concept structure of the geographic ontology, the abstract model of the service semantic dimension and the annotation workflow are designed, and the automation degree of the semantic annotation is improved; On this basis, the strategy of OWS service and WSDL service description is proposed, which solves the problem of inconsistency between the two languages, establishes the WSDL mapping method of the OGC service conceptual model, and thus realizes the OGC and the WSDL service. The spatial semantic similarity measurement framework based on the concept of DL is designed, and the model of spatial semantic similarity measurement based on the DL concept is designed, and the model is validated. Based on the application requirements of the service semantic similarity measure, the research results on semantic similarity calculation are summarized, and the concept hierarchy spatial semantic similarity measurement framework is designed. Based on the framework, a space language for the DL concept description is put forward. In the end, the concept similarity test is designed, and the experimental results show that the ranking of the similarity of human similarity and the method of spatial semantic similarity measure are obtained. The result is highly correlated, and the spatial semantic similarity of this paper is verified. The feasibility of metric method is discussed. The inclusion reasoning mechanism based on spatial semantic similarity measure model is put forward, and the service semantic matching and discovery algorithm of mixed mode are established. firstly, a standard service discovery method implemented in the OGC directory is described, a detailed content of the OGC directory framework specification is provided, and the service discovery machine in the OGC directory is summarized. On the basis of this, a hybrid model service semantic matching algorithm based on the fusion similarity metric model and inclusion reasoning is proposed in order to solve the problems existing in the existing service discovery method. Meanwhile, the service semantic discovery engine and O are described. The integration model of the GC open source directory realizes the semantic query expansion of the query target definition and the service semantic matching algorithm based on the WSML, and provides the semantic directory. In this paper, a prototype system of geographic information intelligent service based on semantic annotation is constructed. The application experiment and verification of intelligent traffic dynamic information sharing service are carried out. The feasibility and practical value of technical method are established. The integrated experimental environment supporting service semantic annotation, service registration, semantic directory management, service matching and discovery is established, and its application in intelligent traffic dynamic information sharing service is explored. Portal open source portal platform has been developed by the service portal of the application experiment system. With the help of the OGC directory service semantic interface, the integrated publishing, semantic search, matching and discovery of road traffic information service are realized. In this paper, the dynamic publishing and sharing experiment of intelligent traffic flow information is carried out for traffic flow monitoring and application example, and the semantic mode based on semantic annotation technology is presented in this paper.
【學位授予單位】：解放軍信息工程大學
【學位級別】：博士
【學位授予年份】：2013
【分類號】：P208;TP391.1

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本文編號：2298754