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- W3174571940 abstract "With 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." @default.
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- W3174571940 date "2021-05-18" @default.
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- W3174571940 title "Neuro-Symbolic Techniques for Description Logic Reasoning (Student Abstract)" @default.
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- W3174571940 doi "https://doi.org/10.1609/aaai.v35i18.17942" @default.
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