David Herron
student @ City, University of London, in London, UK
I’m a PhD student of Artificial Intelligence. My research focuses on visual relationship detection within images using hybrid, neurosymbolic systems where the symbolic components are semantic web knowledge graphs and OWL ontologies.
The macro context of my research involves blending the neural (connectionist) and symbolic traditions of AI that, throughout most of AI’s history, have operated as tribal academic silos. The idea is to explore ways of combining deep learning (neural networks) with symbolic knowledge representation and reasoning (in the form of OWL ontologies, knowledge graphs and rules) in order to get the best of both worlds and demonstrate that hybrid, neural-symbolic AI systems can outperform AI systems that rely on neural AI (statistical, inductive, deep learning) alone. An underlying motivation is to help show that semantic web technologies, ontologies and knowledge graphs are cool and can make valuable contributions to AI.
news
Jul 9, 2023 | position paper presented at NeSy 2023 |
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May 29, 2023 | resource paper preprint available on arXiv |
Apr 29, 2023 | Our position paper On the Benefits of OWL-based Knowledge Graphs for Neural-Symbolic Systems has been accepted for presentation at the NeSy (Workshop on Neural-Symbolic Learning and Reasoning) 2023 conference, to be held in Siena, Italy in July. |
Oct 29, 2022 | Neuro-Symbolic AI research community forming at City |
Oct 29, 2022 | paper presented at ISWC 2022 Doctoral Consortium |
Sep 10, 2022 | My application to transfer from the MPhil-stage to the PhD-stage of City’s PhD programme was recently accepted! |
Jul 15, 2022 | My research proposal paper, recently accepted for presentation at the Doctoral Consortium of ISWC 2022, has been published in the conference proceedings: CEUR-WS.org |
Jun 12, 2022 | paper accepted by ISWC 2022 Doctoral Consortium |