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There has been some research on extracting geospatial properties from text and scientific papers. These reange from complex ML models to brute force text extraction. geoextent could wrap other tools and provide the same API for PDF files and DOIs that point to papers, not data. This is a completely new feature angle! Possibly more a research thesis topic..
M. Mohr thesis extracted coordinates from maps in papers (unpublished)
Kmoch, A., Uuemaa, E., Klug, H., & Cameron, S. (2018). Enhancing Location-Related Hydrogeological Knowledge. ISPRS International Journal of Geo-Information, 7(4), 132. https://doi.org/10.3390/ijgi7040132
https://www.journalmap.org/ ; Karl, J. W., Herrick, J. E., Unnasch, R. S., Gillan, J. K., Ellis, E. C., Lutters, W. G., & Martin, L. J. (2013). Discovering Ecologically Relevant Knowledge from Published Studies through Geosemantic Searching. BioScience, 63(8), 674–682. https://doi.org/10.1525/bio.2013.63.8.10
The text was updated successfully, but these errors were encountered:
There has been some research on extracting geospatial properties from text and scientific papers. These reange from complex ML models to brute force text extraction.
geoextent
could wrap other tools and provide the same API for PDF files and DOIs that point to papers, not data. This is a completely new feature angle! Possibly more a research thesis topic..Resources and related work:
The text was updated successfully, but these errors were encountered: