A Geospatial Semantic Web Framework for Feature-Level Data Search, Access, Retrieval, Integration and Visualization: A Case of Transportation Network Data

研究的目的是设计，原型，并评估一个地理空间语义Web框架搜索，访问，检索，集成和可视化的地理信息在功能级别，使用交通网络数据作为案例研究。本研究旨在将数据共享的技术水平从当前的文件级提升到特征级，其中涉及由特定位置的点、线或多边形表示的数据元素。地理空间数据共享和交换对于提高数据密集型应用程序的效率和减少数据采集的冗余至关重要。然而，由于在不同系统中使用的各种语义、数据模型、结构和格式的不兼容性，在文件级共享数据的当前方法使得数据共享和交换困难。文件级的数据共享对于许多应用（诸如紧急响应和基于位置的服务）是不必要的，在这些应用中，仅需要特定位置处或周围的信息。因此，建立一个要素级的数据共享系统，以满足许多时间关键的应用程序，需要实时访问和交换最新的空间数据是有用的和必要的。本研究将使用标准技术，如Web服务，语义Web和本体，设计和原型的地理空间语义Web的互操作。基本的方法是将地理空间数据作为单独的Web服务提供，然后在地理空间语义Web中启用这些服务。每个Web服务都在服务代理中描述和发布，服务代理通过本体保持可用服务和每个服务包含的数据项的列表。最终用户可以通过服务和本体从服务代理搜索地理空间数据元素。在此基础上，建立了两个交通领域本体，并使用Web本体语言进行了集成。由此产生的系统将从根本上改变传统的数据共享、搜索和访问方式。它将使用户或应用程序能够语义搜索并自动发现和访问特征级数据。此外，它可能对时间关键型和数据密集型应用程序产生重要影响，例如用于国土安全、应急响应、基于位置的服务、城市规划和决策支持系统的应用程序。本研究希望能促进和推动Web服务、本体和地理空间语义网的集成研究。它试图表明，开发的地理空间语义Web可以成为一个供应商中立的，互操作的Web，允许地理空间数据提供商公布他们的数据，允许最终用户，如应急响应调度员，搜索，访问，检索和集成不同的空间信息周围的一个特定位置通过Web服务从多个来源。测量和统计程序。

The objective of the research is to design, prototype, and assess a Geospatial Semantic Web framework to search, access, retrieve, integrate, and visualize geographic information at the feature level, using transportation network data as a case study. This research intends to advance the state of art of data-sharing from the current file level to feature level, which involves data elements represented by points, lines, or polygons at particular locations. Geospatial data sharing and exchange are essential to increase the efficiency of data-intensive applications and to reduce the redundancy of data acquisition. Yet current methods of sharing data at the file level make data sharing and exchange difficult because of the incompatibility of the variety of semantics, data models, structures and formats used at different systems. Data sharing at the file level is not necessary for many applications such as emergency responses and location based services, in which only information at or surrounding a particular location are needed. Therefore it is useful and necessary to build a feature-level data sharing system to meet the demand of many time critical applications that need real-time access and exchange of the most up-to-date spatial data. This research will design and prototype an interoperable Geospatial Semantic Web using standard technologies such as web services, semantic web, and ontology. The basic approach is to serve geospatial data as individual web services, and then enable these services in a Geospatial Semantic Web. Each web service is described and published in a service broker, which keeps a list of available services and the data items each service contains through ontologies. The end user can search for geospatial data elements from the service broker through services and ontologies. Based on the research, two transportation domain ontologies will be created and integrated using the Web Ontology Language. The resulting system will fundamentally change traditional ways of data sharing, search and access. It will enable users or applications to semantically search and automatically discover and access feature level data. Furthermore, it may have important impacts on time-critical and data-intensive applications such as those used in homeland security, emergency response, location based services, urban planning, and decision-support systems. This research wishes to promote and advance research interests in the integration of Web services, ontology, and Geospatial Semantic Web. It attempts to show that the developed Geospatial Semantic Web can become a vendor-neutral, interoperable Web that allows geospatial data providers to advertise their data, allows end users such as the emergency response dispatchers to search, access, retrieve, and integrate different spatial information surrounding a particular location from multiple sources through Web Services.This proposal is supported in part by the Methodology, Measurement and Statistics program.