David Herron

student @ City, University of London, in London, UK

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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
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. :heavy_exclamation_mark: :sunglasses: :wine_glass:
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! :wine_glass:
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