基于形式本体的POI数据分类方法

针对现有地理信息分类体系的不足,基于形式本体的原理,结合语义学理论,以深圳市的POI数据为实验数据,通过采用对POI数据形式化语义分析的方法,利用概念的本体属性组来规范表达POI概念的语义,提出一套新的分类体系。分类结果有效地解决了传统分类体系中存在的语义和概念上的异构问题,并成功应用于深圳市公共信息服务平台,从新的视角为其他城市的POI信息分类以及其他类型的地理信息分类提供参考方法。     

Population of a spatio-temporal knowledge base for jurisdictional domains

Jurisdictional domains are legal divisions of the Earth’s surface frequently used in classification and search systems for location-based queries. However, there are few compilations of jurisdictional domains that include their evolution. One of the causes is the complexity of their generation. As an advance in this area, this paper describes a process that facilitates the creation of knowledge bases containing the evolution of jurisdictional domains. As application example, this paper presents the creation of a jurisdictional knowledge base of Spain with its evolution between 1830 and 2011.     

一种本体驱动的地理空间事件相关信息自动检索方法

区别于传统的地理信息检索仅利用关键词进行匹配和查询的机制,以地理空间事件为纽带,提出一种由本体驱动的、与该地理空间事件相关的信息自动检索方法,实现用户仅仅需要了解地理空间事件发生的基本信息就可以从海量地理信息数据库中智能地提取与该地理空间事件相关的信息,并提供检索的个性化支持,以便用户主动、自动检索这些信息,简化用户获取信息的过程,减少因用户对信息组织方式、软件应用模式不了解造成的繁琐操作,提高检索效率。     

海啸早期预警系统的一种本体式表达

无线传感器通常用于环境监测,如气候变化、水质和监控灾害管理等。目前,灾害管理是一项十分关键和紧迫的工作,在海啸预警和预测系统方面尤为突出。本文在研制区域水文态势地理信息服务系统(RHSGISS)的基础上,为减缓灾害,研究出了海啸早期预警系统的一种本体式表达。该系统由地震监测台站、海底压力记录仪(BPR)和验潮仪等组成,其主要功用是解释复杂的多维数据。该数据由各种传感器、系统间的互操作性以及处理异构数据等生成。目前的核心问题在于将获取自海啸早期预警系统多个组件的异构数据进行融合以及提供基于Web网络的数据服务。面向特定陆表监测与应急响应任务,本文通过使用开放地理空间联盟(OGC)确定的传感器网络赋能实现(SWE)框架,构建了基于"北斗"卫星导航系统的GPNT服务体系,能为所有接入空天地一体化对地感测网环境下的用户共享互操作性和可伸缩性提供便利。本体因其功能上可以提供明确含义的信息,而成为了解决信息异质性问题的手段。本文在传感器网络数据与数据语义方面提出了一种面向服务的架构(SOA)模型,目的是要提供使用本体和Jena规范来表示更有意义的早期海啸预警系统信息。     

基于本体语义的地理信息服务发现

基于本体语义研究地理信息服务发现问题.将加权语义距离和Wu-Palmer法相结合并进行改进计算本体概念语义相似度.引入服务接口依赖关系,提出支持接口多态性的本体语义地理信息服务输入输出匹配方法.最后开发实验原型对基于本体的地理信息服务匹配方法进行实验与分析.     

利用地名语义实现Web地震事件空间信息提取

针对Web新闻中地震事件地点要素提取的需求,提出了利用地名语义技术实现的地震事件空间信息提取的解决方案。通过构建地名本体库来支持标准化地名构建,通过句法分析、中文分词和词性标注识别地名,通过地名的标准化从地名本体库获得地名语义信息提取地震事件地点信息。同时,利用语义库及其推理机制完成地名标定范围内的地震事件搜索,成功地获取了中国境内近年的各省地市县的地震事件的空间分布情况。原型系统验证了论文方法的可行性和有效性。     

A case-based reasoning approach for task-driven spatial–temporally aware geospatial data discovery through geoportals

ABSTRACT

There is a critical need to develop a means for fast, task-driven discovery of geospatial data found in geoportals. Existing geoportals, however, only provide metadata-based means for discovery, with little support for task-driven discovery, especially when considering spatial–temporal awareness. To address this gap, this paper presents a Case-Based Reasoning-supported Geospatial Data Discovery (CBR-GDD) method and implementation that accesses geospatial data by tasks. The advantages of the CBR-GDD approach is that it builds an analogue reasoning process that provides an internal mechanism bridging tasks and geospatial data with spatial–temporal awareness, thus providing solutions based on past tasks. The CBR-GDD approach includes a set of algorithms that were successfully implemented via three components as an extension of geoportals: ontology-enhanced knowledge base, similarity assessment model, and case retrieval nets. A set of experiments and case studies validate the CBR-GDD approach and application, and demonstrate its efficiency.     

The framework of a geospatial semantic web-based spatial decision support system for Digital Earth

Abstract

While significant progress has been made to implement the Digital Earth vision, current implementation only makes it easy to integrate and share spatial data from distributed sources and has limited capabilities to integrate data and models for simulating social and physical processes. To achieve effectiveness of decision-making using Digital Earth for understanding the Earth and its systems, new infrastructures that provide capabilities of computational simulation are needed. This paper proposed a framework of geospatial semantic web-based interoperable spatial decision support systems (SDSSs) to expand capabilities of the currently implemented infrastructure of Digital Earth. Main technologies applied in the framework such as heterogeneous ontology integration, ontology-based catalog service, and web service composition were introduced. We proposed a partition-refinement algorithm for ontology matching and integration, and an algorithm for web service discovery and composition. The proposed interoperable SDSS enables decision-makers to reuse and integrate geospatial data and geoprocessing resources from heterogeneous sources across the Internet. Based on the proposed framework, a prototype to assist in protective boundary delimitation for Lunan Stone Forest conservation was implemented to demonstrate how ontology-based web services and the services-oriented architecture can contribute to the development of interoperable SDSSs in support of Digital Earth for decision-making.     

An algebraic approach to automated geospatial information fusion

This paper presents a new technique for information fusion. Unlike most previous work on information fusion, this paper explores the use of instance‐level (extensional) information within the fusion process. This paper proposes an algorithm that can be used automatically to infer the schema‐level structure necessary for information fusion from instance‐level information. The approach is illustrated using the example of geospatial land‐cover data. The method is then extended to operate under uncertainty, such as in cases where the data are inaccurate or imprecise. The paper describes the implementation of the fusion method within a software prototype. Finally, the paper discusses several key topics for future research, including applications of this work to spatial‐data mining and the semantic web.