6 papers
Georeferencing Non-Gazetteered Place Names using Biological Specimen Records
Aneesha Fernando, Surangika Ranathunga, Kristin Stock +2
Biological specimen records collected by natural history institutions constitute a rich source of temporal geographic knowledge, capturing biodiversity information about regional l…
Georeferencing complex relative locality descriptions with large language models
Aneesha Fernando, Surangika Ranathunga, Kristin Stock +2
Georeferencing text documents has typically relied on either gazetteer-based methods to assign geographic coordinates to place names, or on language modelling approaches that assoc…
Extracting Disaster Impacts and Impact Related Locations in Social Media Posts Using Large Language Models
Sameeah Noreen Hameed, Surangika Ranathunga, Raj Prasanna +2
Large-scale disasters can often result in catastrophic consequences on people and infrastructure. Situation awareness about such disaster impacts generated by authoritative data fr…
Omni Geometry Representation Learning vs Large Language Models for Geospatial Entity Resolution
Kalana Wijegunarathna, Kristin Stock, Christopher B. Jones
The development, integration, and maintenance of geospatial databases rely heavily on efficient and accurate matching procedures of Geospatial Entity Resolution (ER). While resolut…
Large Multi-modal Model Cartographic Map Comprehension for Textual Locality Georeferencing
Kalana Wijegunarathna, Kristin Stock, Christopher B. Jones
Millions of biological sample records collected in the last few centuries archived in natural history collections are un-georeferenced. Georeferencing complex locality descriptions…
Digital gazetteers: review and prospects for place name knowledge bases
Kalana Wijegunarathna, Kristin Stock, Christopher B. Jones
Gazetteers typically store data on place names, place types and the associated coordinates. They play an essential role in disambiguating place names in online geographical informa…