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Extracting and Retrieving Displacements from textual Documents

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A demonstration tool

This website provides a demonstration tool for the automatic reconstruction of itineraries extracted from narrative texts.
The main functions are :

Extraction of geographical information with natural language processing
Toponyms resolution in the context of an itinerary
Itinerary reconstruction

Trial application form

Methodology

Extraction of geographical information
- Extraction of spatial named entities, spatial relations and motion expressions
  - Part-of-Speech tagging analyser
  - Linguistic patterns
  - Finite-state transducers cascade
Toponyms resolution and disambiguation
- Subtyping toponyms
- External geographical resources (gazetteers) :
  - BDNyme provided by IGN France
  - Geonames
  - OpenStreetMap
- Clustering by density

This tool is currently available for French, Spanish and Italian. Show examples

References

Gaio, M., Moncla, L., : Geoparsing and geocoding places in a dynamic space context: The case of hiking descriptions The Semantics of Dynamic Space in French: Descriptive, experimental and formal studies on motion expression. In Human Cognitive Processing: Vol. 66 (Michel Aurnague and Dejan Stosic, pp. 354–386). John Benjamins Publishing Company. (2019)

Moncla, L., Gaio, M., Egorova, E. and Claramunt, C. : An automatic extraction method of static and dynamic spatial contexts from texts In: Atelier Science des Données et Humanités Numériques (SDHN) Conférence EGC (2018)

Moncla, L., Gaio, M. : Services Web pour l'annotation sémantique d'information spatiale à partir de corpus textuels In: Conference Spatial Analysis and GEOmatics SAGEO (2017)

Moncla, L., Gaio, M., Nogueras-Iso, J. and Mustère, S. : Reconstruction of itineraries from annotated text with an informed spanning tree algorithm. International Journal of Geographical Information Science (2016)

Moncla, L. and Gaio, M. : A multi-layer markup language for geospatial semantic annotations. In the 9th Workshop on Geographic Information Retrieval, Paris, France (2015)

Moncla, L., Renteria-Agualimpia, W., Nogueras-Iso, J. and Gaio, M.: Geocoding for texts with fine-grain toponyms: an experiment on a geoparsed hiking descriptions corpus. In: The 22th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Dallas, Texas, USA (2014)