Semi-automatic extraction of metadata from old geological maps
| dc.contributor.author | Bürgl, Kim | |
| dc.contributor.author | Müller, Lydia | |
| dc.contributor.editor | Klein, Maike | |
| dc.contributor.editor | Krupka, Daniel | |
| dc.contributor.editor | Winter, Cornelia | |
| dc.contributor.editor | Wohlgemuth, Volker | |
| dc.date.accessioned | 2023-11-29T14:50:22Z | |
| dc.date.available | 2023-11-29T14:50:22Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Geological 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.doi | 10.18420/inf2023_171 | |
| dc.identifier.isbn | 978-3-88579-731-9 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43098 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | INFORMATIK 2023 - Designing Futures: Zukünfte gestalten | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-337 | |
| dc.subject | NLP | |
| dc.subject | Metadata | |
| dc.subject | OCR | |
| dc.subject | geological maps | |
| dc.title | Semi-automatic extraction of metadata from old geological maps | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 1674 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 1665 | |
| gi.conference.date | 26.-29. September 2023 | |
| gi.conference.location | Berlin | |
| gi.conference.sessiontitle | Ökologische Nachhaltigkeit - Workshop on Systems to Support Renaturation Projects 2023 (SyRePro23) |
Dateien
Originalbündel
1 - 1 von 1