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Zitierlink DOI
10.26092/elib/4203

Narrativizing Knowledge Graphs

Veröffentlichungsdatum
2022
Autoren
Porzel, Robert  
Pomarlan, Mihai  
Spillner, Laura  
Bateman, John A.  
Mildner, Thomas  
Santagiustina, Carlo
Zusammenfassung
Any natural language expression of a set of facts – that can be represented as a knowledge graph – will more or less overtly assume a specific perspective on these facts. In this paper we see the conversion of a given knowledge graph into natural language as the construction of a narrative about the assertions made by the knowledge graph. We, therefore, propose a specific pipeline that can be applied to produce linguistic narratives from knowledge graphs using an ontological layer and corresponding rules that turn a knowledge graph into a semantic specification for natural language generation. Critically, narratives are seen as necessarily committing to specific perspectives taken on the facts presented. We show how this most commonly neglected facet of producing summaries of facts can be brought under control.
Schlagwörter
Narratives

; 

Ontologies

; 

Cognitive Systems

; 

Framing
Verlag
RWTH Aachen
Institution
Universität Bremen  
Fachbereich
Fachbereich 03: Mathematik/Informatik (FB 03)  
Institute
Digital Media Lab  
Dokumenttyp
Konferenzbeitrag
Zeitschrift/Sammelwerk
AI4LEGAL-KGSUM 2022: Artificial Intelligence Technologies for Legal Documents and Knowledge Graph Summarization 2022 = CEUR Workshop Proceedings, Band 3257
Startseite
100
Endseite
111
Zweitveröffentlichung
Ja
Dokumentversion
Published Version
Lizenz
https://creativecommons.org/licenses/by/4.0/
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

Porzel et al_Narrativizing Knowledge Graphs_2022_published-version.pdf

Size

2.43 MB

Format

Adobe PDF

Checksum

(MD5):2cfb2e69e1a3610849658617fb4dbba9

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