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Ontology-Guided Evidence Path Inference for Multi-hop Knowledge Graph Question Answering
arXiv:2606.28076v1 Announce Type: new Abstract: Knowledge graph question answering (KGQA) aims to answer natural-language questions by reasoning over structured facts. Existing multi-hop KGQA methods mainly rely on topic-centered expansion, which faces two key challenges: the search space rapidly grows with noisy mixed-type paths, and retrieved paths may fail to satisfy the semantic constraints of complex questions. To address these challenges, we propose OPI, an ontology-guided evidence path in...
arXiv cs.AI
·Yongxue Shan, Meihan Wu, Cundi Fang, Jie Peng, Xiaodong Wang
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