Search Results for author:
Found 17 papers, 5 papers with code
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
In this work, we explore the promises and challenges of developing multimodal foundation models for GeoAI.
TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT
Extracting precise geographical information from textual contents is crucial in a plethora of applications.
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research
Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field enjoying tremendous adoption.
Location reference recognition from texts: A survey and comparison
Further, there lacks a comprehensive review and comparison of existing approaches for location reference recognition, which is the first and a core step of geoparsing.
The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level
In this study, we propose to derive information about the alcohol outlet visits of the residents of different neighborhoods from anonymized mobile phone location data, and investigate whether the derived visits can help better predict DV at the neighborhood level.
A Review of Location Encoding for GeoAI: Methods and Applications
A common need for artificial intelligence models in the broader geoscience is to represent and encode various types of spatial data, such as points (e. g., points of interest), polylines (e. g., trajectories), polygons (e. g., administrative regions), graphs (e. g., transportation networks), or rasters (e. g., remote sensing images), in a hidden embedding space so that they can be readily incorporated into deep learning models.
Aligning geographic entities from historical maps for building knowledge graphs
Despite their valuable content, it is often challenging to access and use the information in historical maps, due to their forms of paper-based maps or scanned images.
How do people describe locations during a natural disaster: an analysis of tweets from Hurricane Harvey
Social media platforms, such as Twitter, have been increasingly used by people during natural disasters to share information and request for help.
Starting with data: advancing spatial data science by building and sharing high-quality datasets
Spatial data science has emerged in recent years as an interdisciplinary field.
Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform
In June 2019, a geoparsing competition, Toponym Resolution in Scientific Papers, was held as one of the SemEval 2019 tasks.
Enhancing spatial and textual analysis with EUPEG: an extensible and unified platform for evaluating geoparsers
EUPEG is an open source and Web based benchmarking platform which hosts a majority of open corpora, geoparsers, and performance metrics reported in the literature.
Building benchmarking frameworks for supporting replicability and reproducibility: spatial and textual analysis as an example
Replicability and reproducibility (R&R) are critical for the long-term prosperity of a scientific discipline.
Artificial Intelligence Approaches
Artificial Intelligence (AI) has received tremendous attention from academia, industry, and the general public in recent years.
Geo-Text Data and Data-Driven Geospatial Semantics
With a focus on data-driven research, this paper systematically reviews a large number of studies that have discovered multiple types of knowledge from geo-text data.
Extracting and Analyzing Semantic Relatedness between Cities Using News Articles
Such co-occurrence often suggests certain relatedness between the mentioned cities, and the relatedness may be under different topics depending on the contents of the news articles.
An empirical study on the names of points of interest and their changes with geographic distance
While Points Of Interest (POIs), such as restaurants, hotels, and barber shops, are part of urban areas irrespective of their specific locations, the names of these POIs often reveal valuable information related to local culture, landmarks, influential families, figures, events, and so on.
Cultural Vocal Bursts Intensity Prediction
Information Retrieval
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Geospatial Semantics
Geospatial semantics is a broad field that involves a variety of research areas.
