Toponym-assisted map georeferencing: Evaluating the use of toponyms for the digitization of map collections. [PDF]
Bahgat K, Runfola D.
europepmc +1 more source
Towns conquer: a gamified application to collect geographical names (vernacular names/toponyms) [PDF]
The traditional model for geospatial crowd sourcing asks the public to use their free time collecting geospatial data for no obvious reward. This model has shown to work very well on projects such as Open Street Map, but comes with some clear ...
Brown, Michael +3 more
core +1 more source
Citizen science characterization of meanings of toponyms of Kenya: a shared heritage. [PDF]
Daniel N, Mátyás G.
europepmc +1 more source
Spatiotemporal Hotspots of Study Areas in Research of Gastric Cancer in China Based on Web-Crawled Literature. [PDF]
Wang Z, Ren H, Zhang A, Zhuang D.
europepmc +1 more source
A geo-temporal information extraction service for processing descriptive metadata in digital libraries [PDF]
In the context of digital map libraries, resources are usually described according to metadata records that define the relevant subject, location, time-span, format and keywords.
Borbinha, José +3 more
core +1 more source
Rehabilitation of abandoned villages through tourism: a solution for sustainable heritage development? [PDF]
Villages which have been abandoned during recent decades as a result of migration from rural areas constitute a serious problem which is all too common in many European countries.
Barata, Leonor Themudo +2 more
core
Extracting and modeling geographic information from scientific articles. [PDF]
Acheson E, Purves RS.
europepmc +1 more source
Semantic Enrichment of a Multilingual Archive with Linked Open Data [PDF]
This paper introduces MERCKX, a Multilingual Entity/Resource Combiner & Knowledge eXtractor. A case study involving the semantic enrichment of a multilingual archive is presented with the aim of assessing the relevance of natural language processing ...
De Wilde, Max, Hengchen, Simon
core
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)
Large pre-trained models, also known as foundation models (FMs), are trained in a task-agnostic manner on large-scale data and can be adapted to a wide range of downstream tasks by fine-tuning, few-shot, or even zero-shot learning.
Gengchen Mai +13 more
semanticscholar +1 more source
Multilingual Extraction of functional relations between Arabic Named Entities using NooJ platform [PDF]
10 pagesInternational audienceThe extraction of relation between Named Entities (NE) has become the last few years an interesting research domain. It is very useful for many applications such as Web mining, Information extraction and retrieval, Business ...
Ben Hamadou, Abdelmajid +2 more
core

