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Representing Historical Knowledge in...

Grossner, Karl Eric.

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Representing Historical Knowledge in Geographic Information Systems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Representing Historical Knowledge in Geographic Information Systems./
作者:	Grossner, Karl Eric.
面頁冊數:	302 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-03, Section: B, page: 1357.
Contained By:	Dissertation Abstracts International72-03B.
標題:	Geography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3439428
ISBN:	9781124445908

Representing Historical Knowledge in Geographic Information Systems.
Grossner, Karl Eric.

Representing Historical Knowledge in Geographic Information Systems. - 302 p.

Source: Dissertation Abstracts International, Volume: 72-03, Section: B, page: 1357.

Thesis (Ph.D.)--University of California, Santa Barbara, 2010.

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.

ISBN: 9781124445908Subjects--Topical Terms:

524010
Geography.

Representing Historical Knowledge in Geographic Information Systems.
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