{"id":16092,"date":"2024-06-03T10:14:51","date_gmt":"2024-06-03T14:14:51","guid":{"rendered":"https:\/\/blogarchive.utc.edu\/campus-weekly\/?p=16092"},"modified":"2024-06-03T10:16:49","modified_gmt":"2024-06-03T14:16:49","slug":"notice-of-final-defense-ayman-gumaa-to-present-masters-research","status":"publish","type":"post","link":"https:\/\/blogarchive.utc.edu\/campus-weekly\/2024\/06\/notice-of-final-defense-ayman-gumaa-to-present-masters-research\/","title":{"rendered":"Notice of Final Defense – Ayman Gumaa to Present Master’s Research"},"content":{"rendered":"\n

The UTC Graduate School is pleased to announce that\u00a0Ayman Gumaa will present Master’s research titled,\u00a0Applying KGQA to Cybersecurity on\u00a006\/11\/2024 at\u00a010:30 am – 12:00 noon at https:\/\/tennessee.zoom.us\/my\/mengjunxie<\/a>. Everyone is invited to attend.\u00a0

Computer Science

Chair:\u00a0Dr. Mengjun Xie

Co-Chair:\u00a0

Abstract:

Knowledge Graph Question Answering (KGQA) systems. especially UTC’s ForensiQ, show remarkable results when applied to cybersecurity data. However, a lot of effort is needed to explore a custom KG, use a KGQA system to answer questions using it, generate KGQA datasets for it, and understand what factors affect this system performance and why it produced this answer for this question. We created a web application so all of these tasks can be done more easily using this single application. We also implemented a new entity detection approach for ForensiQ that reduced inference time by an order of magnitude while maintaining ForensiQ’s accuracy. Finally, we rephrased the question templates so test questions differ from training questions in their choice of words and sentence structure. Our results confirmed that both ForensiQ models perform the same and outperform other baseline systems.<\/p>\n","protected":false},"excerpt":{"rendered":"

The UTC Graduate School is pleased to announce that\u00a0Ayman Gumaa will present Master’s research titled,\u00a0Applying KGQA to Cybersecurity on\u00a006\/11\/2024 at\u00a010:30 am – 12:00 noon at https:\/\/tennessee.zoom.us\/my\/mengjunxie. Everyone is invited to attend.\u00a0 Computer Science Chair:\u00a0Dr. Mengjun Xie Co-Chair:\u00a0 Abstract: Knowledge Graph Question Answering (KGQA) systems. especially UTC’s ForensiQ, show remarkable results when applied to cybersecurity data.… <\/p>\n

Continue Reading <\/span><\/a><\/span><\/p>\n","protected":false},"author":1493,"featured_media":15498,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[8,15,120183,120186],"tags":[],"class_list":{"0":"post-16092","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-campus","8":"category-faculty-staff","9":"category-news","10":"category-students-news","11":"entry"},"yoast_head":"\nNotice of Final Defense - Ayman Gumaa to Present Master's Research - Campus Updates Archive<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Notice of Final Defense - Ayman Gumaa to Present Master's Research - Campus Updates Archive\" \/>\n<meta property=\"og:description\" content=\"The UTC Graduate School is pleased to announce that\u00a0Ayman Gumaa will present Master’s research titled,\u00a0Applying KGQA to Cybersecurity on\u00a006\/11\/2024 at\u00a010:30 am – 12:00 noon at https:\/\/tennessee.zoom.us\/my\/mengjunxie. 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