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    Knowledge-Embedded Narrative Construction from Open Source Intelligence

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    1170.pdf (173.1Kb)
    Links to Files
    https://ebiquity.umbc.edu/paper/html/id/1045/Knowledge-Embedded-Narrative-Construction-from-Open-Source-Intelligence
    Permanent Link
    http://hdl.handle.net/11603/26364
    Collections
    • UMBC Center for Women in Technology (CWIT)
    • UMBC Computer Science and Electrical Engineering Department
    • UMBC Information Systems Department
    • UMBC Student Collection
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    Author/Creator
    Ranade, Priyanka
    Author/Creator ORCID
    https://orcid.org/0000-0003-3859-5356
    Date
    2023-02-01
    Type of Work
    2 pages
    Text
    conference papers and proceedings
    preprints
    Rights
    This 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.
    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 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.


    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.

     

     

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    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.