Extracting Toponyms from Maps of Jerusalem: Difference between revisions

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! Task
! Task
! Completion
! Completion
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|By Week 3
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* Choose three interesting project ideas.
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|By Week 4
|Week 4
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* Initial tutorial: Introduction to Rhino and Grasshopper.
* Finalize and present project proposals.
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| align="center" | ✓
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|By Week 5
|By Week 5
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* Rhino and Grasshopper applied exercises.
* Survey SOTA toponym extraction tools.
* Implement MapKurator
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| align="center" | ✓
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Revision as of 13:26, 5 December 2023

Introduction & Motivation

Example of Muqarnas structure

1. Simple Muqarnas: the ceilings have plane surfaces only

Elements defined by Al Kashi
[[]]

Methodology

Create the shapes in 2D

Transform the shapes in 3D

The Arc from the Method of Masons

The 3D Projection

Create the 2D plan and the 3D volume

- Step 1:

- Step 2:

In practice

Project Plan

Date Task Completion
Week 4
  • Finalize and present project proposals.
By Week 5
  • Survey SOTA toponym extraction tools.
  • Implement MapKurator
By Week 6
  • Grasshopper implementation of Islamic 2D star pattern
By Week 7
  • Find the steps traditionally followed by craftsmen to construct muqarnas.
By Week 8
  • Understand the construction methods described by Al Kashi's manuscript "Methods of the masons'.
By Week 9
  • Work on the grasshopper 3D model.
By Week 10
  • Midterm presentation: Prepare slides for the midterm project presentation.
By Week 11
  • Deliver Midterm Presentation.
Week 12
  • Launch Wiki.
  • Group words into toponyms via polygon size and location.
  • Apply NLP tools to correct toponyms.
Week 13
  • Manually label ground truth on a fourth map.
  • Calculate final accuracy statistics.
  • Hierarchize final toponyms and develop Voronoi map.
Week 14
  • Prototype toponym-disagreement visualizer.
  • Finalize Wiki and deliver presentation.

Results

Limitations

Future work

Github Repository

Jerusalem Maps EPFL DH405

References

Literature

  • Kim, Jina, et al. "The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps." arXiv preprint arXiv:2306.17059 (2023).
  • Li, Zekun, et al. "An automatic approach for generating rich, linked geo-metadata from historical map images." Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2020

Webpages