Design and implementation of EventsKG for situational monitoring and security intelligence in India: An open-source intelligence gathering approach

• Published in: Intelligent systems with applications 2024-12, Vol.24, p.200458, Article 200458
• Main Authors: Hassan, Hashmy, Elayidom, Sudheep, Irshad, M.R., Chesneau, Christophe
• Format: Article
• Language: English
• Subjects: Domain specific KGs; EventsKG; Knowledge graphs; Ontology; Open-source intelligence gathering
• ISSN: 2667-3053; 2667-3053
• DOI: 10.1016/j.iswa.2024.200458

This paper presents a method to construct and implement an Events Knowledge Graph (EventsKG) for security-related open-source intelligence gathering, focusing on event exploration for situation monitoring in India. The EventsKG is designed to process news articles, extract events of national security significance, and represent them in a consistent and intuitive manner. This method utilizes state-of-the-art natural language understanding techniques and the capabilities of graph databases to extract and organize events. A domain-specific ontology is created for effective storage and retrieval. In addition, we provide a user-friendly dashboard for querying and a complete visualization of events across India. The effectiveness of the EventsKG is assessed through a human evaluation of the information retrieval quality. Our approach contributes to rapid data availability and decision-making through a comprehensive understanding of events, including local events, from every part of India in just a few clicks. The system is evaluated against a manually annotated dataset and by involving human evaluators through a feedback survey, and it has shown good retrieval accuracy. The EventsKG can also be used for other applications such as threat intelligence, incident response, and situational awareness.