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Author

Lin-Fang Ding

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Conference Open access Sep 2026

Information-Needs-Guided Virtual Knowledge Graph Enrichment via Large Language Models

This work forms the task of Information-Needs-Guided VKG Enrichment (IN-VKGE), and proposes an iterative framework that leverages large language models to assess whether information needs can be supported using SPARQL execution feedback and generate ontology and mapping enrichment proposals.

Lin Ren, Guohui Xiao, Guilin Qi et al. · 0 citations
Conference Open access Sep 2026

NaVQA: Mitigating Silent Failures in Question Answering over Virtual Knowledge Graph

This paper studies the VKG-QA task, which enables users to interact with the VKGs through a natural language (NL) interface by translating their questions into SPARQL queries, and pro-poses NaVQA (Navigation-based VKG Question Answering), a framework leveraging Large Language Models.

Guohui Xiao, Haohan Xue, Lin Ren et al. · 0 citations

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