Extracting Toponyms from Maps of Jerusalem

Introduction & Motivation

Example of Muqarnas structure

Methodology

2. Pyramid

c. Word Combination

Single Line

Multiple Lines

Curved Line

Project Timeline

Timeframe	Task	Completion
Week 4	Finalize and present project proposals. Toponym extraction project selected.	✓
Week 5	Survey SOTA toponym extraction tools.	✓
Week 6	Port MapKurator's Spotter tool and model weights into Windows-based Python. Select two (later four) maps to use when implementing, evaluating, and fine-tuning MapKurator's model.	✓
Week 7	Create ground truth labels for first map with VIA's online interface.	✓
Week 8	Create ground truth labels for second map. Implement 1:1-matched precision and recall via IoU (geometry) and normalized Levenshtein (text). Calculate baseline accuracy statistics.	✓
Week 9	Implement multi-layer pyramid application of MapKurator's Spotter.	✓
Week 10	Create ground truth labels for third map. Implement toponym rectification and amalgamation on pyramid-derived toponyms.	✓
Week 11	Calculate pyramid accuracy statistics. Fine-tune toponym rectification and amalgamation. Deliver Midterm presentation.	✓
Week 12	Launch Wiki. Group words into toponyms via polygon size and location. Apply NLP tools to correct toponyms based on MapKurator strategy.
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