Extracting Toponyms from Maps of Jerusalem

Introduction & Motivation

Example of Muqarnas structure

1. Simple Muqarnas: the ceilings have plane surfaces only

Elements defined by Al Kashi

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Methodology

Create the 2D plan and the 3D volume

- Step 1:

- Step 2:

Project Plan

Date	Task	Completion
Week 4	Finalize and present project proposals. Assigned Toponym Extraction	✓
Week 5	Survey SOTA toponym extraction tools. Port MapKurator into Windows-based Python, implement on a sample map.	✓
Week 6		✓
Week 7		✓
Week 8	Create ground truth labels for first map. Implement 1:1-matched precision and recall via IoU (geometry) and normalized Levenshtein (text)	✓
Week 9	Create ground truth labels for second map. Implement multi-layer pyramid approach to toponym extraction	✓
Week 10	Implement toponym rectification and amalgamation algorithms. Create ground truth labels for third map.	✓
Week 11	Calculate accuracy statistics for pyramid approach Deliver Midterm Presentation.	✓
Week 12	Launch Wiki. Group words into toponyms via polygon size and location. Apply NLP tools to correct toponyms.	✓
Week 13	Create ground truth labels for fourth map. Calculate final accuracy statistics. Hierarchize final toponyms and develop Voronoi map.	✓
Week 14	Prototype toponym-disagreement visualizer. Finalize Wiki and deliver presentation.	✓

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

• MapKurator GitRepo
• MapKurator Introduction