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Semi-automatic extraction of metadata from old geological maps

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dc.contributor.authorBürgl, Kim
dc.contributor.authorMüller, Lydia
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:22Z
dc.date.available2023-11-29T14:50:22Z
dc.date.issued2023
dc.description.abstractGeological map communicate efficiently geological information. Old geological maps were stored as paper maps and thus need to be digitized when integrating them into digital geographic information systems. Metadata is required to find relevant maps fast. However, metadata is usually created manually with a lot of effort. We present work in progress for a semi-automated approach for extracting metadata from maps. The results show that it lowers the manual effort significantly to extract the location and improves at least the experience of the manual annotation with respect to date metadata.en
dc.identifier.doi10.18420/inf2023_171
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43098
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectNLP
dc.subjectMetadata
dc.subjectOCR
dc.subjectgeological maps
dc.titleSemi-automatic extraction of metadata from old geological mapsen
dc.typeText/Conference Paper
gi.citation.endPage1674
gi.citation.publisherPlaceBonn
gi.citation.startPage1665
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleÖkologische Nachhaltigkeit - Workshop on Systems to Support Renaturation Projects 2023 (SyRePro23)

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P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten