Repurposing competency questions as runtime executable plans creates a controlled neuro-symbolic RAG architecture that produces evidence-closed stories from knowledge graphs.
arXiv preprint arXiv:2410.06062 , year=
5 Pith papers cite this work, alongside 6 external citations. Polarity classification is still indexing.
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DeSQ decomposes questions into atomic constraints, maps them to SPARQL fragments with placeholders, grounds the placeholders, and assembles complete queries, outperforming prior methods on four of five benchmarks.
GraphMind builds and evolves action-centric workflow graphs from traces, navigates them via multi-agent LLM reasoning, and adapts via ATR, outperforming baselines on 93 incidents with 8x less context and 26% lower hallucination in production deployment.
mcp-proto-okn is a Model Context Protocol server providing natural-language access, schema inspection, SPARQL execution, and multi-graph querying for open scientific knowledge graphs.
MuseKG builds a typed knowledge graph over museum collections to support natural-language queries and relation-aware exploration of objects, people, images, and extracted entities.
citing papers explorer
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Competency Questions as Executable Plans: a Controlled RAG Architecture for Cultural Heritage Storytelling
Repurposing competency questions as runtime executable plans creates a controlled neuro-symbolic RAG architecture that produces evidence-closed stories from knowledge graphs.
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DeSQ: Decomposition-based SPARQL Query Generation
DeSQ decomposes questions into atomic constraints, maps them to SPARQL fragments with placeholders, grounds the placeholders, and assembles complete queries, outperforming prior methods on four of five benchmarks.
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GraphMind: From Operational Traces to Self-Evolving Workflow Automation
GraphMind builds and evolves action-centric workflow graphs from traces, navigates them via multi-agent LLM reasoning, and adapts via ATR, outperforming baselines on 93 incidents with 8x less context and 26% lower hallucination in production deployment.
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mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol
mcp-proto-okn is a Model Context Protocol server providing natural-language access, schema inspection, SPARQL execution, and multi-graph querying for open scientific knowledge graphs.
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MUSEKG: A Knowledge Graph Over Museum Collections
MuseKG builds a typed knowledge graph over museum collections to support natural-language queries and relation-aware exploration of objects, people, images, and extracted entities.