Despite significant progress in the extraction of geographic information from texts, numerous unresolved challenges persist, ranging from methodologies, systems, data, and applications to privacy concerns. This workshop will serve as a platform for the discourse of recent breakthroughs, novel ideas, and...
performed the coding, and conducted the analysis. Diwakar Khadka also wrote the initial draft of the manuscript. Atma Sharma reviewed the manuscript. Jie Zhang supervised the work and provided feedback on earlier drafts. All authors read and approved the final manuscript. ...
Initial screening by titles and abstracts based on predefined inclusion criteria done by two team members (EA and JA) independently. Then disparities were resolved by discussion with other team member (AM) and agreements reached on the included articles for full texts screening. Exclude studies that...
the International Journal of Applied Earth Observation and Geoinformation, and the IEEE Transactions on Geoscience and Remote Sensing. Full texts of the lectures given and
Mass unstructured geographic knowledge scattered in web texts has been regarded as a potential source for enriching the triplets in GeoKGs. The crux of triplet extraction from web texts lies in the detection of key phrases indicating the correct geo-relations between geo-entities. However, the ...
Mass unstructured geographic knowledge scattered in web texts has been regarded as a potential source for enriching the triplets in GeoKGs. The crux of triplet extraction from web texts lies in the detection of key phrases indicating the correct geo-relations between geo-entities. However, the ...
Specifically, we leverage Wikipedia as a valuable data source for collecting and filtering geographic texts. The Open Information Extraction (OpenIE) tool is employed to extract triples from each sentence, followed by manual annotation of the sentences' spatio-temporal relevance. This pro...
Since more images are shared on social media than ever before, recent research focused on the extraction of flood-related posts by analyzing images in addition to texts. Apart from merely classifying posts as flood relevant or not, more detailed information, e.g. the flood severity, can also ...
It relies on near real-time information, often provided by citizen science through Volunteered Geographic Information (VGI) data and Natural Language Processing (NLP) of VGI texts. The second module conducts network analysis based on freely available Open Street Map (OSM) data, differen...
Geographic information, such as place names with their latitude and longitude (lat/long), is useful to understand what belongs where. Traditionally, Gazetteers, which are constructed manually by experts, are used as dictionaries containing such geographi