Narrative Extraction from Semantic Graphs (Short Paper)

Authors Daniil Lystopadskyi , André Santos , José Paulo Leal

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Author Details

Daniil Lystopadskyi
  • Faculty of Sciences, University of Porto, Portugal
André Santos
  • CRACS & INESC TEC, Porto, Portugal
  • Faculty of Sciences, University of Porto, Portugal
José Paulo Leal
  • CRACS & INESC TEC, Porto, Portugal
  • Faculty of Sciences, University of Porto, Portugal

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Daniil Lystopadskyi, André Santos, and José Paulo Leal. Narrative Extraction from Semantic Graphs (Short Paper). In 12th Symposium on Languages, Applications and Technologies (SLATE 2023). Open Access Series in Informatics (OASIcs), Volume 113, pp. 9:1-9:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


This paper proposes an interactive approach for narrative extraction from semantic graphs. The proposed approach extracts events from RDF triples, maps them to their corresponding attributes, and assembles them into a chronological sequence to form narrative graphs. The approach is evaluated on the Wikidata graph and achieves promising results in terms of narrative quality and coherence. The paper also discusses several avenues for future work, including the integration of machine learning, graph embedding methods and the exploration of advanced techniques for attention-based narrative labeling and semantic role labeling. Overall, the proposed method offers a promising approach to narrative extraction from semantic graphs and has the potential to be useful in various applications, including chatbots, conversational agents, and content creation tools.

Subject Classification

ACM Subject Classification
  • Information systems → Environment-specific retrieval
  • Information systems → Information extraction
  • Narratives
  • Narrative Extraction
  • Information Retrieval
  • Knowledge Graphs
  • Semantic Graphs
  • Resource Description Framework
  • Web Ontology


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