Neuro-Symbolic Techniques for Description Logic Reasoning (Student Abstract)
Keywords:Neuro-symbolic Reasoning, OWL 2 Reasoner, Description Logic Reasoner
AbstractWith the goal to find scalable reasoning approaches, neuro-symbolic techniques have gained significant attention. However, the existing approaches do not take into account the inference capabilities of ontology languages that are based on expressive description logic (such as OWL 2). To fill this gap, we propose two approaches: an ontology-based embedding model for theories in EL++ description logic and a reinforcement learning-based solution for efficient tableau-based reasoning on description logic. We describe promising initial results of our efforts towards these directions and lay down the direction for future work.
How to Cite
Singh, G., Mondal, S., Bhatia, S., & Mutharaju, R. (2021). Neuro-Symbolic Techniques for Description Logic Reasoning (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15891-15892. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17942
AAAI Student Abstract and Poster Program