Thesis
Enabling efficient and effective data extraction and data labeling
- Abstract:
-
History has left us with many wonderful visualizations. Historical visualizations capture valuable historical statistics. The original datasets that generate historical visualizations are useful to humanities and social science scholars but are often lost. This thesis starts with the problem of extracting such datasets from historical visualizations. It is impractical to expect purely automatic solutions for data extraction, as historical visualizations feature diverse designs, contain ima...
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Authors
Contributors
+ Chen, M
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Engineering Science
- Sub department:
- Oxford e-Research Centre
- Oxford college:
- Pembroke College
- Role:
- Supervisor
- ORCID:
- 0000-0001-5320-5729
+ Coecke, B
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Sub department:
- Computer Science
- Oxford college:
- Wolfson College
- Role:
- Supervisor
- ORCID:
- 0000-0002-5310-8723
+ European Research Council
More from this funder
- Funding agency for:
- Chen, M
- Zhang, Y
- Grant:
- 822214
- Programme:
- Marie Skłodowska-Curie Actions
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2023-01-14
Terms of use
- Copyright holder:
- Zhang, Y
- Copyright date:
- 2022
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