Knowledge-Embedded Narrative Construction from Open Source Intelligence

Authors

  • Priyanka Ranade University of Maryland, Baltimore County

DOI:

https://doi.org/10.1609/aaai.v37i13.26926

Keywords:

Neurosymbolic AI, Knowledge Representation, Information Extraction, Question Answering, Social Computing

Abstract

Storytelling is an innate part of language-based communication. Today, current events are reported via Open Source Intelligence (OSINT) sources like news websites, blogs, and discussion forums. Scattered and fragmented sources such as these can be better understood when organized as chains of event plot points, or narratives, that have the ability to communicate end-end stories. Though search engines can retrieve aggregated event information, they lack the ability to sequence relevant events together to form narratives about different topics. I propose an AI system inspired by Gustav Freytag’s narrative theory called the Plot Element Pyramid and use knowledge graphs to represent, chain, and reason over narratives from disparately sourced event details to better comprehend convoluted, noisy information about critical events during intelligence analysis.

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Published

2024-07-15

How to Cite

Ranade, P. (2024). Knowledge-Embedded Narrative Construction from Open Source Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16131-16132. https://doi.org/10.1609/aaai.v37i13.26926