Construction of Knowledge Graphs: State and Challenges
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Abstract (arXiv)
With knowledge graphs (KGs) at the center of numerous applications such as recommender systems and question answering, the need for generalized pipelines to construct and continuously update such KGs is increasing. While the individual steps that are necessary to create KGs from unstructured (e.g. text) and structured data sources (e.g. databases) are mostly well-researched for their one-shot execution, their adoption for incremental KG updates and the interplay of the individual steps have hardly been investigated in a systematic manner so far. In this work, we first discuss the main graph models for KGs and introduce the major requirement for future KG construction pipelines. Next, we provide an overview of the necessary steps to build high-quality KGs, including cross-cutting topics such as metadata management, ontology development, and quality assurance. We then evaluate the state of the art of KG construction w.r.t the introduced requirements for specific popular KGs as well as some recent tools and strategies for KG construction. Finally, we identify areas in need of further research and improvement.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 76 of its 378 references that are in the map. First posted on arXiv 22 Feb 2023.
Builds on
76 of 378 references.
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Citing papers per year: 2024: 4; 2025: 6; 2026: 2.
12 papers.
- 2024LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoningcited by 10
- 2025DeepMEL: A Multi-Agent Collaboration Framework for Multimodal Entity Linkingcited by 3
- 2025KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generationcited by 2
- 2025From Instructions to ODRL Usage Policies: An Ontology Guided Approachcited by 2
- 2024Graph-based Active Learning for Entity Cluster Repaircited by 1
- 2025Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Restructuringcited by 1
- 2026DIAL-KG: Schema-Free Incremental Knowledge Graph Construction via Dynamic Schema Induction and Evolution-Intent Assessmentcited by 1
- 2024Evaluating Class Membership Relations in Knowledge Graphs using Large Language Modelscited by 0
- 2024An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurementcited by 0
- 2025medicX-KG: A Knowledge Graph for Pharmacists' Drug Information Needscited by 0
- 2025Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extractioncited by 0
- 2026Where Do Your Citations Come From? Citation-Constellation: A Free, Open-Source, No-Code, and Auditable Tool for Citation Network Decomposition with Complementary BARON and HEROCON Scorescited by 0
- 2026Where Do Your Citations Come From? Citation-Constellation: A Free, Open-Source, No-Code, and Auditable Tool for Citation Network Decomposition with Complementary BARON and HEROCON Scores25 Mar 2026
- 2026DIAL-KG: Schema-Free Incremental Knowledge Graph Construction via Dynamic Schema Induction and Evolution-Intent Assessment20 Mar 2026
- 2025Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Restructuring16 Nov 2025
- 2025Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction5 Nov 2025
- 2025DeepMEL: A Multi-Agent Collaboration Framework for Multimodal Entity Linking21 Aug 2025
- 2025medicX-KG: A Knowledge Graph for Pharmacists' Drug Information Needs22 Jun 2025
- 2025From Instructions to ODRL Usage Policies: An Ontology Guided Approach3 Jun 2025
- 2025KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generation12 May 2025
- 2024An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurement29 Nov 2024
- 2024LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning22 Jun 2024
- 2024Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models25 Apr 2024
- 2024Graph-based Active Learning for Entity Cluster Repair26 Jan 2024