Literature DB >> 20643682

Use of the Edinburgh geoparser for georeferencing digitized historical collections.

Claire Grover1, Richard Tobin, Kate Byrne, Matthew Woollard, James Reid, Stuart Dunn, Julian Ball.   

Abstract

We report on two JISC-funded projects that aimed to enrich the metadata of digitized historical collections with georeferences and other information automatically computed using geoparsing and related information extraction technologies. Understanding location is a critical part of any historical research, and the nature of the collections makes them an interesting case study for testing automated methodologies for extracting content. The two projects (GeoDigRef and Embedding GeoCrossWalk) have looked at how automatic georeferencing of resources might be useful in developing improved geographical search capacities across collections. In this paper, we describe the work that was undertaken to configure the geoparser for the collections as well as the evaluations that were performed.

Year:  2010        PMID: 20643682     DOI: 10.1098/rsta.2010.0149

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  3 in total

1.  Medieval Spanish (12th-15th centuries) named entity recognition and attribute annotation system based on contextual information.

Authors:  Mª Luisa Díez Platas; Salvador Ros Muñoz; Elena González-Blanco; Pablo Ruiz Fabo; Elena Álvarez Mellado
Journal:  J Assoc Inf Sci Technol       Date:  2020-08-19       Impact factor: 2.687

2.  Efficient and Reliable Geocoding of German Twitter Data to Enable Spatial Data Linkage to Official Statistics and Other Data Sources.

Authors:  H Long Nguyen; Dorian Tsolak; Anna Karmann; Stefan Knauff; Simon Kühne
Journal:  Front Sociol       Date:  2022-06-09

3.  A pragmatic guide to geoparsing evaluation: Toponyms, Named Entity Recognition and pragmatics.

Authors:  Milan Gritta; Mohammad Taher Pilehvar; Nigel Collier
Journal:  Lang Resour Eval       Date:  2019-09-19       Impact factor: 1.358

  3 in total

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