東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Representing Historical Knowledge in...

Grossner, Karl Eric.

Linked to FindBook

Google Book

Amazon

博客來

Representing Historical Knowledge in Geographic Information Systems.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Representing Historical Knowledge in Geographic Information Systems./
Author:	Grossner, Karl Eric.
Description:	302 p.
Notes:	Source: Dissertation Abstracts International, Volume: 72-03, Section: B, page: 1357.
Contained By:	Dissertation Abstracts International72-03B.
Subject:	Geography. -
Online resource:	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.
LDR:02430nam 2200337 4500 001 1401632
005 20111017084412.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781124445908
035 $a (UMI)AAI3439428
035 $a AAI3439428
040 $a UMI $c UMI
100 1 $a Grossner, Karl Eric. $3 1680778
245 1 0 $a Representing Historical Knowledge in Geographic Information Systems.
300 $a 302 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-03, Section: B, page: 1357.
500 $a Adviser: Michael F. Goodchild.
502 $a Thesis (Ph.D.)--University of California, Santa Barbara, 2010.
520 $a 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.
590 $a School code: 0035.
650 4 $a Geography. $3 524010
650 4 $a Geodesy. $3 550741
650 4 $a Information Science. $3 1017528
690 $a 0366
690 $a 0370
690 $a 0723
710 2 $a University of California, Santa Barbara. $b Geography. $3 1025686
773 0 $t Dissertation Abstracts International $g 72-03B.
790 1 0 $a Goodchild, Michael F., $e advisor
790 1 0 $a Couclelis, Helen $e committee member
790 1 0 $a Mostern, Ruth $e committee member
790 1 0 $a Raubal, Martin $e committee member
790 1 0 $a Clarke, Keith C. $e committee member
790 $a 0035
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3439428