全息位置地图研究

位置信息服务是当代社会发展的一个重要方向,以位置为基础,将相关信息关联和分析,为潜在用户提供知识层次关于表达对象的全方位的信息,实现地理位置概念应用的飞跃。本文在地理位置与位置地图概念分析的基础上,进一步论述了语义位置、位置感知与位置计算的内涵,提出了全息位置地图的新概念,探讨了全息位置地图的主要研究内容和发展方向。     

顾及语义差异的基础地理信息客户数据库更新实施模型

客户数据库更新就是利用新版基础地理数据库中更新变化的要素信息,对客户数据库进行相应的级联更新,以使其具有良好现势性的过程。现有研究大多侧重于基础地理数据库更新信息的分发与提供,而没有充分考虑语义差异环境下如何高效实施客户数据库更新的具体问题。针对此,该文概括了基础地理数据库与其客户数据库之间潜在的各种语义差异;从实施效率、数据完备性、一致性、正确性等方面,分析描述了语义差异给更新实施过程带来的不利影响;最后依据语义映射和转换理论,提出了由语义匹配、变化提取、更新集成3种基本操作组成的更新实施模型,并阐述了3种基本操作的执行策略和关键环节。     

感官形容词词义演变分析

词作为语言的一个基本单位 ,其语义总是不断变化的。从通感的角度出发 ,探讨影响感官形容词词义转移的因素 ,针对文化差异导致了感官形容词词义转移的不一致现象 ,指出人类的生理学共性在英汉感官形容词词义转移上的相似之处 ,为跨文化交际过程中理解感官形容词的派生意义提供了思路。     

空间关系的研究进展

空间关系是GIS的重要理论问题之一,在GIS数据建模、空间查询、空间分析、空间推理、制图综合、地图理解等过程中起着重要作用。目前国际上对空间关系的研究主要集中在空间关系的语义问题、空间关系描述、空间关系表达、基于空间关系的查询分析等方面。本文主要讲述了这几个方面的研究进展和成果。     

基于语义规则和词向量的台风灾害网络情感分析方法

灾害期间的舆情引导有助于维护社会稳定。社交媒体是舆论传播的重要渠道,通过微博评论了解用户的网络情感及关注的话题,可以帮助相关舆情监测部门掌握公众的关注热点,从而选择适当的干预节点来应对网络舆情,并对公众情绪进行疏导,这对于应急管理具有现实意义。现有的研究大多是利用有监督的机器学习方法进行情感分类,这需要人工进行语料的标注,工作量大。本文根据微博评论文本的特点,综合考虑情感词以及表情符号等多重情感源,构建了台风灾害领域情感词典。在此基础上,提出了一种基于情感词语义规则的情感倾向计算方法,以及基于词向量的话题聚类方法。首先,采集了近年5次台风灾害期间共计40多万条微博评论文本,基于大连理工情感词汇本体库进行扩展构建了台风灾害领域情感词典,结合PMI法构建表情符号词典,根据语义规则确定情感倾向,并使用3500条评论文本验证了该方法的有效性。然后,本文基于词向量、TF-IDF与K-means的聚类方法探索灾害期间热点话题。最后,以2020年4号台风“黑格比”为例,基于台风期间的5万余条微博评论文本进行了舆情情感分析,并识别出6类与台风相关的话题。通过时空分析发现,随着时间的推移,微博评论文本的数量发生一定变化,评论数量多的地区大都集中在沿海地区和经济水平高的地区,台风登陆当天浙江省的恐惧情感达到最高。结果表明,基于语义规则和词向量的台风灾害网络情感分析方法,能在类似灾害事件发生时为政府部门掌握和引导网络舆情提供辅助。     

A temporal-contextual analysis of urban dynamics using location-based data

The dynamics of urban activities in Jerusalem were studied by analyzing a large-scale semantically rich movement dataset. The semantic enrichment process was based on coupling movement trajectories sampled by GPS loggers with contextual data derived from trajectory-based digital activity dairies. Although the utility of such procedures in generating trajectory-specific semantic data was noted before, their application stays limited. In this paper, we promote the utilization of these procedures by demonstrating that they are not only feasible but also important for mobility studies. We discuss the characteristics of the semantic enrichment process and the manner by which it was applied within the large-scale analysis of urban dynamics. This application uncovered a time- and context-dependent array of centers in Jerusalem, resulting in a semantically rich characterization of urban dynamics. Such characterization provides otherwise unobtainable insights crucial for urban analysis. Wider implications for movement studies may be derived, as this application demonstrates how diary-based enrichment approaches hold the potential to advance bridging the semantic gap in mobility research.     

A RESTful proxy and data model for linked sensor data

Abstract

The vision of a Digital Earth calls for more dynamic information systems, new sources of information, and stronger capabilities for their integration. Sensor networks have been identified as a major information source for the Digital Earth, while Semantic Web technologies have been proposed to facilitate integration. So far, sensor data are stored and published using the Observations & Measurements standard of the Open Geospatial Consortium (OGC) as data model. With the advent of Volunteered Geographic Information and the Semantic Sensor Web, work on an ontological model gained importance within Sensor Web Enablement (SWE). In contrast to data models, an ontological approach abstracts from implementation details by focusing on modeling the physical world from the perspective of a particular domain. Ontologies restrict the interpretation of vocabularies toward their intended meaning. The ongoing paradigm shift to Linked Sensor Data complements this attempt. Two questions have to be addressed: (1) how to refer to changing and frequently updated data sets using Uniform Resource Identifiers, and (2) how to establish meaningful links between those data sets, that is, observations, sensors, features of interest, and observed properties? In this paper, we present a Linked Data model and a RESTful proxy for OGC's Sensor Observation Service to improve integration and inter-linkage of observation data for the Digital Earth.     

不动产登记数据的建筑分层分户三维建模关键技术

随着实景三维建设的不断推进,城市管理向立体化、精细化和数字化发展,建筑分层分户三维模型能够承载更详细精准的属性信息,并能叠加倾斜三维模型进行场景渲染,可以更好地服务于城市不动产三维管理、数字赋能社会治理等工作。本文以“萧山区数字赋能社会治理”项目建设为背景,探索和实现了基于不动产登记数据的建筑分层分户三维建模关键技术,形成了从全空间多源异构数据归集至城市全域建筑分层分户三维模型建设的一整套生产技术流程,为城市不动产三维管理、数字赋能社会治理等提供了有效的技术支撑和数据基础。     

FME在地理信息系统互操作上的应用研究

介绍了GIS互操作技术,对FME平台体系结构和语义转换技术进行了分析,并概括了FME平台的特性和优势。     

Semantic Web and service computation in GIScience applications: a perspective and prospective

Semantic Web and Web services have been two prominent themes in the computer science and IT mainstream for more than a decade. While both of these themes have been evolving, some geographers and GIScientists have been trying to introduce and adopt such new technologies into GIScience research and development. This paper reviews the state-of-the-art and the main constraints of semantic Web and Web services technologies and their applications in GIScience. Unless some fundamental problems within both semantic Web and Web services can be resolved, such technologies will be difficult to match the needs in the GIScience community. Besides logics, more sciences and theories have to be introduced into this research front in order to break through the long-term bottleneck in semantic Web and service computation in general.