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Unlocking sustainable reporting: Leveraging knowledge graphs for ESG metrics extraction: The role of knowledge graphs in sustainability reporting

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dc.contributor.authorDriller, Jana
dc.contributor.authorTrang, Simon Thanh-Nam
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:17Z
dc.date.available2024-10-21T18:24:17Z
dc.date.issued2024
dc.description.abstractThis study investigates the use of knowledge graphs to address challenges in ESG metrics extraction and reporting. However, collecting and processing ESG data from diverse IT systems is complex. Knowledge graphs offer a solution by enabling semantic modelling and data integration. This research employs a design science approach to develop a prototype knowledge graph, enhancing the accuracy and consistency of ESG reporting. The study contributes both theoretically, by advancing knowledge graph frameworks, and practically, by providing a tool for efficient ESG data management and reporting.en
dc.identifier.doi10.18420/inf2024_162
dc.identifier.eissn2944-7682
dc.identifier.isbn978-3-88579-746-3
dc.identifier.issn2944-7682
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45139
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectESG-Metrics
dc.subjectKnowledge Graphs
dc.subjectIT-Systems
dc.titleUnlocking sustainable reporting: Leveraging knowledge graphs for ESG metrics extraction: The role of knowledge graphs in sustainability reportingen
dc.typeText/Conference Paper
gi.citation.endPage1883
gi.citation.publisherPlaceBonn
gi.citation.startPage1877
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitleNaWerSys IV – Nachhaltige Wertschöpfungssysteme

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