
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).
Event-centric KGs, Ontologies, KGs, Narratives
Event-centric KGs, Ontologies, KGs, Narratives
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
