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A Geo-Parser for German Documents with Environmental Context

In: Advances and New Trends in Environmental Informatics

Author

Listed:
  • Nicolas Doms

    (Karlsruhe Institute of Technology (KIT))

  • Thorsten Schlachter

    (Karlsruhe Institute of Technology (KIT))

  • Lisa Hahn-Woernle

    (Baden-Württemberg State Institute for the Environment, Survey and Nature Conservation)

Abstract

Environmental information is often bound to some geographic entity, be it continent, country, city, or a smaller entity like a forest or a water body. Consequently, documents with environmental context also contain geographic entities. A geo-parser can help to understand what geographic information is present in the document. This information can then be used to display the geographic entities on a map, to group related data as a facet in an internet search, or to enable links between these documents to other documents that refer to the same geographic entity. There have been numerous geo-parsers in the past, however, none of them dealt explicitly with German documents with environmental context. This scenario features a number of challenges that will be explained before a solution is proposed in this publication. As the geo-parser requires some sort of a reference dataset with geographic names and geographic areas, different datasets are analyzed before the most fitting one is picked for the implementation. Furthermore, an evaluation dataset containing pre-tagged geographical entities is created and presented briefly, before the proposed solution is evaluated against the very same dataset.

Suggested Citation

  • Nicolas Doms & Thorsten Schlachter & Lisa Hahn-Woernle, 2025. "A Geo-Parser for German Documents with Environmental Context," Progress in IS, in: Volker Wohlgemuth & Hamdy Kandil & Amna Ramzy (ed.), Advances and New Trends in Environmental Informatics, pages 21-33, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-85284-8_2
    DOI: 10.1007/978-3-031-85284-8_2
    as

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