地理信息服务语义标注关键技术与应用研究

With increasingly widespread geographic information service application fields and users, people require more and more diverse geographic information service. On one hand, the amount of registered and released geographic information services on the internet rises rapidly. On the other hand, people often feel confused about how to find interested services and composite interested services, so as to satisfy interest on demand. In order to solve this problem, the research starts with the geographic concept annotation of geo-ontology hierarchical model, studies the hierarchical semantic mapping relations in geographic concepts, between geographic concepts and geographic feature data, and puts forward a new semi-automatic semantic annotation algorithm based on geographic concept matching which can increase annotation efficiency. Based on the application requirement for geographic information service discovery to similarity measurement, the research puts forward a new geographic concept similarity measurement model based on description logic, which lays the foundation to solve the semantic service problem of similarity measurement. Through compromising the new semantic service similarity measurement model and traditional subsumption reasoning engine, the research innovates methods of geographic information service discovery and matching, which will increase discovery and matching efficiency. Through researching the fusion mechanism between OGC geographic information web service and SWS, the research puts forward a new efficient matching and discovery strategy. There search builds the evaluation index system on geographic information service semantic annotation, service discovery and matching quality. And an application case of geographic information service is introduced, so as to set up the geographic information service framework based on semantic annotation. An experiment system which integrates geographic information semantic service annotation, service registry, catalog management, service matching and discovery is also been built.

随着地理信息服务应用领域和受众群体的日益广泛，人们对地理信息服务的需求越来越多元。一方面网络上注册和发布的地理信息服务的数量急剧增长；另一方面人们对如何高效发现兴趣服务、组合兴趣服务以满足兴趣需要却常感到困惑。针对此问题，从地理本体层次模型中地理概念的标注出发，研究地理概念之间、地理概念与地理要素特征数据之间的层次语义映射关系，提出基于地理概念匹配的半自动语义标注新算法和基于描述逻辑的地理概念语义相似性度量新模型；融合服务语义相似性度量新模型和传统包含推理引擎，创新地理信息服务语义发现与匹配方法；研究 OGC 地理信息网络服务与语义网服务（SWS）的融合机制，提出地理信息服务高效匹配与发现新策略，构建地理信息服务语义标注和服务发现、匹配质量评价指标体系。结合地理信息服务应用案例，搭建基于语义标注的地理信息服务框架，建立地理信息语义服务标注、服务注册、目录管理、服务匹配与发现的集成实验系统。

面对日益庞大的服务群，如何自动、快速、准确地发现目标服务，成为影响地理信息服务进一步发展与应用的瓶颈。本课题从基于地理概念匹配的语义标注算法、面向SOA框架的OWS服务与WSDL服务描述融合策略、基于DL概念描述的空间语义相似性度量模型以及融合相似性度量与包含性推理的语义匹配与服务发现四个方面进行了深入研究，课题在基于语义标注的地理信息服务的理论方法和关键技术上取得了初步成果。.首先，为了实现服务的多本体标注，创建了面向服务语义标注的地理本体三层架构，利用本体工程化的方法，开发了面向语义标注的领域本体与应用本体，建立了轻量级的应用本体开发模式；同时，基于PageRank算法，顾及地理本体概念图结构对现有地理信息服务语义标注算法进行了优化，设计了服务语义标注抽象模型与标注工作流，提高了语义标注的自动化程度；在此基础上，提出了OWS服务与WSDL服务描述相融合的策略，解决了两者语法不一致问题，建立了OGC服务概念模型的WSDL映射方法，由此实现OGC与W3C网络服务标准的集成。.其次，通过分析现有OGC目录中服务发现机制的局限性，提出了融合相似性度量模型与包含性推理的混合模式服务语义匹配算法，以期解决现有服务发现方法中存在的问题。同时，描述了服务语义发现引擎与OGC开源目录的集成模式，实现了基于WSML的查询目标定义与服务语义匹配算法的语义查询扩展，并给出了语义目录的整体框架设计与实施策略，有效提高了服务发现的效率。.最后，创建了基于语义标注的地理信息智能服务原型系统，针对智能交通动态信息共享服务进行了应用实验，初步验证了技术方法的可行性和实用价值，建立了支持服务语义标注、服务注册、语义目录管理、服务匹配与发现的集成实验环境，并探索了其在智能交通动态信息共享服务中的应用。