HIGHLIGHTS
- who: Editors E. Parseliunas et al. from the CNRS, INRAE, France have published the paper: GeoXTag: Relative Spatial Information Extraction and Tagging of Unstructured Text, in the : Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022. of /2022/
- what: The authors propose a rule-based entity extraction algorithm to extract those categories of relative spatial information from textual documents. The aim of this work is to identify unknown spatial entities in textual data (McDonough et_al, 2019). This research focuses on the relative spatial information (RSI) extraction from text and geotagging of RSI on . . .
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