Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction

TL;DR

This paper explores the use of knowledge graphs derived from the TV show Veronica Mars to assist in solving fictional crimes, highlighting techniques for clue mining and collaborative construction.

Contribution

It introduces a novel approach of applying knowledge graphs to crime fiction, demonstrating methods for clue extraction and collaborative building from television content.

Findings

Knowledge graphs can effectively represent crime fiction narratives.

Mining techniques help identify potential suspects and clues.

Collaborative construction improves knowledge graph accuracy.

Abstract

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.