Jerusalem: locating the colonies and neighborhoods

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Revision as of 09:34, 21 December 2022 by Weier.liu (talk | contribs)
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Introduction

The goal of this project is to study the construction of neighborhoods in Jerusalem over time. We collect information about Jerusalem neighborhoods from four different sources, including the book Jerusalem and its Environs, the Wikipedia category Neighbourhoods of Jerusalem, the Wikipedia list Places of Jerusalem - Neighborhoods and Wikidata entity neighborhood of Jerusalem. These sources provide us with different information with different focuses. We merge this content through matching methods and present it on a web page. The page organizes and visualizes all the information. With the timeline, search, and view details features, users can get a clear picture of the Jerusalem community in our map interface. At the same time, the matching approach we use can be easily applied to other cities with multiple sources of information (similar, different, or even contradictory), with the potential for reuse in the future.

Motivation

The study of the geography and chronology of neighborhoods in Jerusalem can provide valuable insights into the city's past and present. The location of a neighborhood can often reflect the social, economic, and political forces that shaped it, as well as the cultural traditions and values of its residents.

Examining the founding year of a neighborhood can also provide insight into the city's history and development. Visualizing the location and founded year of neighborhoods in Jerusalem can be a powerful tool for understanding the city's past and present. By mapping and analyzing these data, it is possible to gain a deeper understanding of the cultural, social, and economic dynamics of different neighborhoods and the forces that have shaped them.

A city with such a rich and varied history as Jerusalem has many different accounts of it. These accounts from various sources are an important basis when studying it. How to integrate the information from these sources is also one of the focuses of our research.

Deliverables

  • OCR results of Development of Jerusalem neighborhoods information from Jerusalem and its Environs.
  • Crawler results from Wikipedia category Neighbourhoods of Jerusalem, Wikipedia list Places of Jerusalem - Neighborhoods, and Wikidata entity neighborhood of Jerusalem.
  • Integrated database with multiple information sources after perfect matching and fuzzy matching.
  • An interactive and user-friendly webpage showing the changes in neighborhoods of Jerusalem with time, with:
    • A timeline feature that illustrates the evolution of the construction of neighborhoods in Jerusalem over time.
    • A search function that enables users to search for neighborhoods by name.
    • A dedicated sub-page that contains relevant information for each neighborhood.

Methodology

Data collection

OCR method for paper book

Crawler method for Wikipedia and Wikidata information

Data matching

Database establishment

Webpage development

Search function

Timeline feature

Result assessment

Limitations and Further Work

Limitations

Future work

Project Plan and Milestones

Date Task Completion
By Week 3
  • Brainstorm project ideas.
  • Prepare slides for initial project idea presentation.
By Week 4
  • Organize the Jerusalem neighborhood information from the book into csv files by OCR.
  • Conduct manual review and adjust formats.
By Week 5
  • Get neighborhood information on Wikipedia through crawlers, including names, links, and coordinates.
By Week 6
  • Merge the data get from wikipedia different website.
  • Extract the same neighborhoods in both book and wikipedia.
By Week 7
  • Start working on webpages.
  • Decide to use GitHub pages and bootstrap as our output methods and learn the basic concepts.
By Week 8
  • Use fuzzy matching method to link information from the book and Wikipedia.
  • Work on webpage: use leaflet to present maps.
By Week 9
  • Transfer data into usable format for HTML.
  • Combine the front-end webpage and back-end data.
  • Create our first demo webpage.
By Week 10
  • Fill in information on wiki.
  • Get prepared for the midterm presentation.
By Week 11
  • Get neighborhood information on Wikidata through crawlers, including names, links, and establish time.
  • Merge the information from Wikidata to existing data.
  • Find out a way to deal with duplicated data and extract results from fuzzy matching.
By Week 12
  • Find neighborhoods with area shapes and find out a way to visualize.
  • Create searching function on the website.
  • Adding information and adjust the website.
By Week 13
  • Create another page to list the information on the website.
  • Create Github Pages for our webpage.
By Week 14
  • Complete the wiki on motivation, methods, results...
  • Refine the visualization of our webpage
By Week 15
  • Final presentation

Github Repository

https://github.com/WayerLiu/fdh_jerusalem.github.io