The integration of 1457 World map and Bing maps in WordPress

Historical maps provide useful and great knowledge in showing how things were in the past. They put various information together onto a graphical image. Not many historical maps are digitalised, and information are complicated to search. Making the map readable as an image and available as digitalis...

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Main Author: Soh, Jolinda Sing En
Other Authors: Cong Gao
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/66523
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-66523
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spelling sg-ntu-dr.10356-665232023-03-03T20:50:52Z The integration of 1457 World map and Bing maps in WordPress Soh, Jolinda Sing En Cong Gao School of Computer Engineering DRNTU::Engineering::General::History DRNTU::Engineering::Computer science and engineering Historical maps provide useful and great knowledge in showing how things were in the past. They put various information together onto a graphical image. Not many historical maps are digitalised, and information are complicated to search. Making the map readable as an image and available as digitalised context would help scholars to efficiently and effectively do researches and understand the behind stories of the map. The purpose of the project is to implement a suitable solution for integrating the 1457 World Map and the Bing Maps by transcribing 56 narrative legends and 345 places name accurately. In addition, relevant information that exists in the 21st century of the textual units on the 1457 World Map were discovered. The Scrum framework is adopted as the design methodology. The solution prototype was developed on WordPress, a popular content management system which uses HTML and CSS programming language. The implementation was done using the WordPress Shortcode API and PHP language. The results were impressive as 402 map coordinates of the textual units were accurately recorded. Although results were accurate, the process was long. Text recognition technologies such as optical character recognition and semantic web technology are highly recommended for the next similar project. Bachelor of Engineering (Computer Science) 2016-04-15T02:10:33Z 2016-04-15T02:10:33Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66523 en Nanyang Technological University 62 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::General::History
DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::General::History
DRNTU::Engineering::Computer science and engineering
Soh, Jolinda Sing En
The integration of 1457 World map and Bing maps in WordPress
description Historical maps provide useful and great knowledge in showing how things were in the past. They put various information together onto a graphical image. Not many historical maps are digitalised, and information are complicated to search. Making the map readable as an image and available as digitalised context would help scholars to efficiently and effectively do researches and understand the behind stories of the map. The purpose of the project is to implement a suitable solution for integrating the 1457 World Map and the Bing Maps by transcribing 56 narrative legends and 345 places name accurately. In addition, relevant information that exists in the 21st century of the textual units on the 1457 World Map were discovered. The Scrum framework is adopted as the design methodology. The solution prototype was developed on WordPress, a popular content management system which uses HTML and CSS programming language. The implementation was done using the WordPress Shortcode API and PHP language. The results were impressive as 402 map coordinates of the textual units were accurately recorded. Although results were accurate, the process was long. Text recognition technologies such as optical character recognition and semantic web technology are highly recommended for the next similar project.
author2 Cong Gao
author_facet Cong Gao
Soh, Jolinda Sing En
format Final Year Project
author Soh, Jolinda Sing En
author_sort Soh, Jolinda Sing En
title The integration of 1457 World map and Bing maps in WordPress
title_short The integration of 1457 World map and Bing maps in WordPress
title_full The integration of 1457 World map and Bing maps in WordPress
title_fullStr The integration of 1457 World map and Bing maps in WordPress
title_full_unstemmed The integration of 1457 World map and Bing maps in WordPress
title_sort integration of 1457 world map and bing maps in wordpress
publishDate 2016
url http://hdl.handle.net/10356/66523
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