| dc.contributor.author | Udovenko, Vladimir | |
| dc.contributor.author | Algergawy, Alsayed | |
| dc.contributor.editor | Meyer, Holger | |
| dc.contributor.editor | Ritter, Norbert | |
| dc.contributor.editor | Thor, Andreas | |
| dc.contributor.editor | Nicklas, Daniela | |
| dc.contributor.editor | Heuer, Andreas | |
| dc.contributor.editor | Klettke, Meike | |
| dc.date.accessioned | 2019-04-15T11:40:31Z | |
| dc.date.available | 2019-04-15T11:40:31Z | |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 978-3-88579-684-8 | |
| dc.identifier.issn | 1617-5468 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/21802 | |
| dc.description.abstract | Scientific information comes in many shapes: As data in databases or spreadsheets, but also as textual information in papers and books. In order to exploit all this information and integrate all the knowledge that is available regarding a specific entity, it is necessary to identify entities and their relationships. In this paper, we provide a guideline to setting up a pipeline that supports entity and relationship extraction from scientific publications from the ecological domain. | en |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | BTW 2019 – Workshopband | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) – Proceedings, Volume P-290 | |
| dc.subject | Information integration | |
| dc.subject | Entity extraction | |
| dc.subject | Relation extraction | |
| dc.title | Entity Extraction in the Ecological Domain – A practical guide | en |
| mci.reference.pages | 155-160 | |
| mci.conference.sessiontitle | Workshop on Big (and Small) Data in Science and Humanities (BigDS 2019) | |
| mci.conference.location | Rostock | |
| mci.conference.date | 4.-8. März 2019 | |
| dc.identifier.doi | 10.18420/btw2019-ws-16 | |
