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A Survey of Textual Data & Geospatial Technology

In: Handbook of Big Geospatial Data

Author

Listed:
  • Jochen L. Leidner

    (University of Sheffield, Department of Computer Science
    Polygon Analytics Ltd)

Abstract

While address geocoding has a long-established track record of research as well as industry deployment as part of GIS systems and online Web services, postal addresses are not the only way to textually encode geographic footprints. For instance, toponyms in particular can be recognized in prose text and “toponym resolution” (Leidner, Comput Environ Urban Syst 30(4):400--417, 2006; Toponym resolution in text: annotation, evaluation and applications of spatial grounding of place names. Ph.D. thesis, School of Informatics, University of Edinburgh, Edinburgh, 2007) has been defined as the mapping of a name for a place to a spatial footprint, enables better spatial applications. In this chapter, we review a range of alternative methods to arrive at a geographic footprints, starting out from different types of input such as available unstructured text and structured meta-data such as postal addresses, toponym mentions and geographic phrase resolution as well as KML, GeoRDF and other structured metadata formats. A range of application types are then described that are supported by georeferencing technologies to show the potential inherent in computing with geospatial data at scale.

Suggested Citation

  • Jochen L. Leidner, 2021. "A Survey of Textual Data & Geospatial Technology," Springer Books, in: Martin Werner & Yao-Yi Chiang (ed.), Handbook of Big Geospatial Data, chapter 0, pages 429-457, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-55462-0_16
    DOI: 10.1007/978-3-030-55462-0_16
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