Motivating Scenarios
KAIROS uses real-world-inspired domains as research scenarios for studying incremental reasoning over evolving knowledge graphs. These scenarios help define workloads, access patterns, and evaluation goals for the prototype.
Telecom Graphs
A motivating scenario for reasoning over graph-based network topology representing devices, services, users, and infrastructure.
Financial Knowledge Graphs
A research setting for studying how agents could reason over changing market data, corporate relations, and regulatory constraints.
Healthcare Knowledge Graphs
A domain example involving patient records, medical literature, drug interactions, and continuously updated clinical knowledge.
Supply Chain Graphs
A dynamic graph scenario involving suppliers, logistics, monitoring systems, dependencies, and operational changes.
Enterprise Knowledge Graphs
A motivating case for integrating CRM data, operational data, documents, and analytics into graph-based reasoning workflows.