@inproceedings{b8438fc5a4a34ee392b46d1530be40c2,
title = "Structured Representations for Narratives",
abstract = "Narratives are essential to the human sense-making process, and have sparked interest across multidisciplinary fields including Computer Science. However, efforts to unify terminology and identify core narrative requirements are limited, complicating the choice of a suitable representation. We first map identified narrative requirements to appropriate knowledge representations (1). We identify and organise narrative requirements from interviews we conducted (1a), and map these requirements to their most suited knowledge representation forms (1b). We then conduct a systematic survey to select candidate event and narrative-centric ontologies (2). We analyse how effectively these ontologies represent the main narrative requirements (2a), and rank them based on a five-star rating system (2b). We lastly provide recommendations on how to choose the best ontology for a narrative for a specific use case (3).",
keywords = "Event-centric KGs, KGs, Narratives, Ontologies",
author = "In{\`e}s Blin and {ten Teije}, Annette and {van Harmelen}, Frank and Ilaria Tiddi",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 24th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2024 ; Conference date: 26-11-2024 Through 28-11-2024",
year = "2025",
doi = "10.1007/978-3-031-77792-9_9",
language = "English",
isbn = "9783031777912",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "133--154",
editor = "Mehwish Alam and Marco Rospocher and {van Erp}, Marieke and Laura Hollink and Gesese, {Genet Asefa}",
booktitle = "Knowledge Engineering and Knowledge Management",
address = "Germany",
}