Technology Category
Data Mining & Knowledge Management: Linked Open Data, Knowledge Graphs & KB CompletionKnowledge Representation and Reasoning: OntologiesNatural Language Processing: Question Answering
Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema
🤖 AI Summary
To address low automation, poor interpretability, and semantic incompatibility with Wikidata in knowledge graph (KG) construction, this paper proposes an ontology-driven large language model (LLM) approach. First, domain scope and relations are lightweightly extracted from Competency Questions (CQs). Second, extracted relations are bidirectionally mapped to the Wikidata ontology to achieve semantic alignment. Third, LLMs are guided—under ontology constraints—to generate structured subject-predicate-object triples. The key contribution is the first CQ-driven ontology construction paradigm, uniquely balancing automation and interpretability. Experiments on standard benchmarks demonstrate state-of-the-art performance; the resulting KG exhibits high logical consistency and cross-system interoperability, significantly reducing reliance on manual annotation. The method enables a scalable, reusable KG construction pipeline.
Technology Category
Application Category
📝 Abstract
We propose an ontology-grounded approach to Knowledge Graph (KG) construction using Large Language Models (LLMs) on a knowledge base. An ontology is authored by generating Competency Questions (CQ) on knowledge base to discover knowledge scope, extracting relations from CQs, and attempt to replace equivalent relations by their counterpart in Wikidata. To ensure consistency and interpretability in the resulting KG, we ground generation of KG with the authored ontology based on extracted relations. Evaluation on benchmark datasets demonstrates competitive performance in knowledge graph construction task. Our work presents a promising direction for scalable KG construction pipeline with minimal human intervention, that yields high quality and human-interpretable KGs, which are interoperable with Wikidata semantics for potential knowledge base expansion.
Problem
Research questions and friction points this paper is trying to address.
Knowledge Graph Construction
Large-scale Language Models
Wikidata Compatibility
Innovation
Methods, ideas, or system contributions that make the work stand out.
Large-scale Language Models
Ontology-driven Knowledge Graph Construction
WikiData Compatibility
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