Eirini Katsadaki

Platial Information Fusion: Integrating Natural Language Processing and Graph Neural Networks for Context-Aware Geospatial Knowledge Extraction

Eirini Katsadaki, Georgios Bougas & Margarita Kokla · Journal of Geography, Environment and Earth Science International · 2026

Recent advances in geospatial artificial intelligence (GeoAI) have highlighted the potential of combining natural language processing (NLP) and graph-based learning for extracting semantically enriched spatial knowledge. This study describes the development of a lightweight hybri...

Open access Research Article 10.9734/jgeesi/2026/v30i11001

A Grading System for Evaluating Geospatial Entity Connectivity from Texts Using Co-occurrences, Semantic Similarity and Geodesic Distance

Eirini Katsadaki, Georgios Bougas & Margarita Kokla · Journal of Geography, Environment and Earth Science International · 2026

Extracting entity connectivity from texts is important for uncovering how places relate within real-world discourse. While structured data is informative, textual data captures rich contextual and semantic knowledge, enabling us to identify hidden networks of interdependence and...

Open access Research Article 10.9734/jgeesi/2026/v30i1999

Multiclass Text Classification of Climate Change Reports: Insights into Natural Disasters, Impacts, Locations, and Time Periods

Eirini Katsadaki & Margarita Kokla · International Journal of Environment and Climate Change · 2024

In recent years, the quantity of unstructured information sources, such as documents that include complex information about climate change has grown exponentially. Machine learning techniques may be used to extract semantic information from these unstructured sources to enable se...

Open access Research Article 10.9734/ijecc/2024/v14i84361