Extracting Toponyms from Maps of Jerusalem: Difference between revisions
Jump to navigation
Jump to search
Line 84: | Line 84: | ||
|By Week 11 | |By Week 11 | ||
| | | | ||
* | * Deliver Midterm Presentation. | ||
| align="center" | ✓ | | align="center" | ✓ | ||
|- | |- | ||
| | |Week 12 | ||
| | | | ||
* Launch Wiki | * Launch Wiki. | ||
* | * Group words into toponyms via polygon size and location. | ||
* Apply NLP tools to correct toponyms | * Apply NLP tools to correct toponyms. | ||
| align="center" | ✓ | | align="center" | ✓ | ||
|- | |- | ||
| | |Week 13 | ||
| | | | ||
* Manually label ground truth on a fourth map. | * Manually label ground truth on a fourth map. | ||
* Calculate final accuracy statistics. | * Calculate final accuracy statistics. | ||
* Hierarchize final toponyms and develop Voronoi map | * Hierarchize final toponyms and develop Voronoi map. | ||
| align="center" | ✓ | | align="center" | ✓ | ||
|- | |- | ||
| | |Week 14 | ||
| | | | ||
* Prototype toponym-disagreement visualizer. | * Prototype toponym-disagreement visualizer. | ||
* Finalize Wiki and | * Finalize Wiki and deliver presentation. | ||
| align="center" | ✓ | | align="center" | ✓ | ||
|- | |- |
Revision as of 13:20, 5 December 2023
Introduction & Motivation
1. Simple Muqarnas: the ceilings have plane surfaces only
[[]] |
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 |
---|---|---|
By Week 3 |
|
✓ |
By Week 4 |
|
✓ |
By Week 5 |
|
✓ |
By Week 6 |
|
✓ |
By Week 7 |
|
✓ |
By Week 8 |
|
✓ |
By Week 9 |
|
✓ |
By Week 10 |
|
✓ |
By Week 11 |
|
✓ |
Week 12 |
|
✓ |
Week 13 |
|
✓ |
Week 14 |
|
✓ |
Results
Limitations
Future work
Github Repository
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