Udovenko, VladimirAlgergawy, AlsayedMeyer, HolgerRitter, NorbertThor, AndreasNicklas, DanielaHeuer, AndreasKlettke, Meike2019-04-152019-04-152019978-3-88579-684-8https://dl.gi.de/handle/20.500.12116/21802Scientific 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.enInformation integrationEntity extractionRelation extractionEntity Extraction in the Ecological Domain – A practical guide10.18420/btw2019-ws-161617-5468