FishHook: A Visual Analytics System for Tracing Suspicious Entities in the Fisheries Domain using Knowledge Graphs

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Abstract

Undertaking the visual exploration of a large knowledge graph in the domain of illegal fishery activities, FishHook offers an interactive visual analytics solution for scrutinizing individual entities via four distinct views: the Ego Net view, the Hierarchical Tree view, the Unity Net view, and the Parallel Coordinates view. The system incorporates an anomalous pattern detection mechanism, which is designed to address the challenges detailed in the 2023 IEEE VAST Challenge MC1. This integrated solution not only demonstrates robustness and scalability but also provides a powerful tool for comprehending large-scale knowledge graph datasets.