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Representing Historical Knowledge in Geographic Information Systems.

机译:在地理信息系统中代表历史知识。

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摘要

A growing number of historical scholars in social science and humanities fields are using geographic information systems (GIS) to help investigate spatial questions and map their findings. The nature of historical data and historiographic practices present several challenges in using GIS that have been addressed only partially to date. For example, although events are inherently spatial and a fundamental construct in historical reasoning, there have been few attempts to create comprehensive data models for describing them. Likewise, computational representations of historical processes and narrative remain largely undeveloped. In this research, the emerging genre of digital historical atlas is presented as a broad use case and contextualized. Its representation requirements are detailed in novel conceptual and logical models of relevant geo-historical information constructs, presented as a generalized development framework. An event-centered and information-based spatial history ontology (SHO) was developed by adapting and extending an existing upper ontology (DOLCE). Its implementation in a spatial object-relational database populated with several historical datasets is described. Some important challenges remaining in this large, ultimately collaborative undertaking are discussed.
机译:越来越多的社会科学和人文科学领域的历史学者正在使用地理信息系统(GIS)帮助调查空间问题并绘制其发现图。历史数据和史学实践的性质给使用GIS带来了一些挑战,迄今为止仅部分解决了这些挑战。例如,尽管事件本质上是空间上的,并且是历史推理中的基本结构,但很少有人尝试创建用于描述事件的综合数据模型。同样,历史过程和叙述的计算表示在很大程度上还没有得到发展。在这项研究中,新兴的数字历史地图集类型作为广泛的使用案例进行了介绍,并进行了语境化。在有关地理历史信息构造的新颖概念和逻辑模型中,详细描述了其表示要求,并以通用开发框架的形式提出。通过适应和扩展现有的上层本体(DOLCE),开发了以事件为中心,基于信息的空间历史本体(SHO)。描述了其在填充了几个历史数据集的空间对象关系数据库中的实现。讨论了这项庞大的最终协作工作中仍然存在的一些重要挑战。

著录项

  • 作者

    Grossner, Karl Eric.;

  • 作者单位

    University of California, Santa Barbara.;

  • 授予单位 University of California, Santa Barbara.;
  • 学科 Geography.;Information Science.;Geodesy.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 302 p.
  • 总页数 302
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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