Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction
This study provides a preliminary exploration of applying knowledge graphs to fictional crime narratives, which could be of interest to researchers in digital humanities or narrative analysis.
This paper explores the application of knowledge graphs to crime fiction by constructing one from the first season of the TV show Veronica Mars. It discusses techniques for mining the graph for clues and suspects, and best practices for collaborative knowledge graph construction from television shows.
We present a preliminary study of a knowledge graph created from season one of the television show Veronica Mars, which follows the eponymous young private investigator as she attempts to solve the murder of her best friend Lilly Kane. We discuss various techniques for mining the knowledge graph for clues and potential suspects. We also discuss best practice for collaboratively constructing knowledge graphs from television shows.