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| {| class="wikitable" style="margin: 1em auto 1em auto;" | | {| class="wikitable" style="margin: 1em auto 1em auto;" |
| | [[File:elements.png|thumb| Elements defined by Al Kashi]] | | | [[File:etmj_meth_comb_single_line.png|thumb| Test]] |
| | [[]] | | | [[]] |
| |} | | |} |
Revision as of 14:19, 5 December 2023
Introduction & Motivation
Example of Muqarnas structure
Methodology
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.
|
|
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
