Ranade, Priyanka2022-11-282022-11-282023-06-26Ranade, P. (2023). 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.v37i13.26926http://hdl.handle.net/11603/26364https://doi.org/10.1609/aaai.v37i13.26926Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) Doctoral ConsortiumStorytelling 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 to 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.2 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.UMBC Ebiquity Research GroupText