Educing knowledge from text: semantic information extraction of spatial concepts and places

Papadias, Evangelos; Kokla, Margarita; Tomai, Eleni

A growing body of geospatial research has shifted the focus from fully structured to semistructured and unstructured content written in natural language. Natural language texts provide a wealth of knowledge about geospatial concepts, places, events, and activities that needs to be extracted and formalized to support semantic annotation, knowledge-based exploration, and semantic search. The paper presents a web-based prototype for the extraction of geospatial entities and concepts, and the subsequent semantic visualization and interactive exploration of the extraction results. A lightweight ontology anchored in natural language guides the interpretation of natural language texts and the extraction of relevant domain knowledge. The approach is applied on three heterogeneous sources which provide a wealth of spatial concepts and place names.

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Papadias, Evangelos / Kokla, Margarita / Tomai, Eleni: Educing knowledge from text: semantic information extraction of spatial concepts and places. 2021. Copernicus Publications.

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Rechteinhaber: Evangelos Papadias et al.

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