2026-08-04T16:29:21Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:18523 2024-03-06T10:32:09Z ddc:004 open_access

Narrative Extraction from Semantic Graphs (Short Paper) Lystopadskyi, Daniil Santos, André Leal, José Paulo Narratives Narrative Extraction Information Retrieval Knowledge Graphs Semantic Graphs Resource Description Framework Web Ontology 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Daniil Lystopadskyi and André Santos and José Paulo Leal 2023 Is Part Of OASIcs, Volume 113, 12th Symposium on Languages, Applications and Technologies (SLATE 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.SLATE.2023.9 urn:nbn:de:0030-drops-185231 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2023.9 eng https://creativecommons.org/licenses/by/4.0/legalcode