KG Construction

KG: Knowledge Graph

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Overview

Knowledge graph construction studies how to turn information from documents, databases, tables, and images into connected, queryable facts. Methods combine named-entity and relation extraction, entity linking and deduplication, and schema or ontology design; newer systems also use large language models and agents, often with expert review and symbolic validation. Provenance, confidence, temporal context, and incremental updates help keep graphs auditable and useful for tasks such as scientific search, clinical reasoning, and question answering. A central challenge is balancing coverage, accuracy, consistency, and construction cost: flexible extraction can capture more information, but schemas, canonicalization, and evidence checks are needed to prevent unsupported or mismatched facts.

Latest papers

CardsList

197 papers20 papers in the last four weeks, up 18% on the four weeks before. 0.1% of all new papers.

  1. Construction of a Battery Research Knowledge Graph using a Global Open Catalog

    Apr 22, 2026Luca Foppiano, Sae Dieb, Malik Zain +3KG Construction

    1ScienciaLAB, Loulé, Portugal. · 2CBRM, National Institute for Materials Science, Tsukuba, Japan. · 3CyberMate LLC, Tokyo, Japan. +2

  2. Construction of Knowledge Graph based on Language Model

    Apr 21, 2026Qiubai Zhu, Qingwang Wang, Haibin Yuan +2KG ConstructionLLM Information Extraction

    Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China · Yunnan Key Laboratory of Computer Technologies Application, Kunming University of Science and Technology, Kunming 650500, China · Tin Branch, Yunnan Tin Co., LTD.

  3. From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems

    Apr 18, 2026Abhirup Dasgupta, Fernando Spadea, Oshani SeneviratneKG ConstructionKnowledge Representation

    Rensselaer Polytechnic Institute, Troy NY 12180, USA

  4. AutoPKG: An Automated Framework for Dynamic E-commerce Product-Attribute Knowledge Graph Construction

    Apr 18, 2026Pollawat Hongwimol, Haoning Shang, Chutong Wang +6KG ConstructionDocument Information Extraction

    Lazada, Alibaba International Digital Commerce Group · Nanyang Technological University, Singapore

  5. Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis

    Apr 15, 2026Arthur Capozzi, Dirk HelbingKG ConstructionEntity Resolution

    Computational Social Science, ETH Zurich, Zurich, Switzerland · Complexity Science Hub, Vienna, Austria

  6. Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation

    Apr 14, 2026Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Chen Chen +2Representation LearningBiomedical KGs

    University of Kansas, USA

  7. Knowledge Graph RAG: Agentic Crawling and Graph Construction in Enterprise Documents

    Apr 14, 2026Koushik Chakraborty, Koyel GuhaGraph Retrieval-Augmented GenerationKG Construction

    Google AI, Global Services Delivery

  8. Frugal Knowledge Graph Construction with Local LLMs: A Zero-Shot Pipeline, Self-Consistency and Wisdom of Artificial Crowds

    Apr 13, 2026Pierre JourlinKG ConstructionKnowledge Graph Question Answering

    LIA · Avignon Université, Laboratoire d’Informatique d’Avignon (LIA)

  9. Building Trust in the Skies: A Knowledge-Grounded LLM-based Framework for Aviation Safety

    Apr 10, 2026Anirudh Iyengar, Alisa Tiselska, Dumindu Samaraweera +1Aviation SafetyLLM Reliability

    Department of Mathematics, Embry-Riddle Aeronautical University, Daytona Beach, FL

  10. GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering

    Apr 6, 2026Tianyi Zhang, Andreas MarfurtQuestion AnsweringDocument QA

    getAbstract · Lucerne University of Applied Sciences and Arts Switzerland

  11. Towards Agentic Defect Reasoning: A Graph-Assisted Retrieval Framework for Laser Powder Bed Fusion

    Apr 5, 2026Muhammad Rizwan Awan, Volker Pickert, Muhammad Waqar Ashraf +3Additive ManufacturingGraph Retrieval-Augmented Generation

    Department of Electrical and Electronic Engineering, The Newcastle University · The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK

  12. Schema-Aware Planning and Hybrid Knowledge Toolset for Reliable Knowledge Graph Triple Verification

    Apr 5, 2026Xinyan Ma, Xianhao Ou, Chang Li +6Knowledge GraphsAutomated Fact-Checking

    Harbin Institute of Technology, China · Huawei Technologies Co., Ltd., China

  13. Traceable Context-Enriched Knowledge Graph Generation with Induced Schemas

    Apr 3, 2026Mohammad Sadeq Abolhasani, Yang Ba, Yixuan He +1KG ConstructionKnowledge Representation

    School of Computing and Augmented Intelligence, Arizona State University, Tempe, USA · School of Mathematical and Natural Sciences, Arizona State University, Tempe, USA.

  14. LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extraction

    Apr 3, 2026Luc Pommeret, Thomas Gerald, Patrick Paroubek +3KG ConstructionRelation Extraction

    STL · Université Paris-Saclay, CNRS, LISN, 91400, Orsay, France · LISN +3

  15. OntoKG: Ontology-Oriented Knowledge Graph Construction with Intrinsic-Relational Routing

    Apr 3, 2026Yitao Li, Zhanlin Liu, Anuranjan Pandey +1KG ConstructionKnowledge Graphs

  16. Ontology-based knowledge graph infrastructure for interoperable atomistic simulation data

    Mar 31, 2026Abril Azocar Guzman, Sarath Menon, Tilmann Hickel +1KG ConstructionKnowledge Representation

    Institute for Advanced Simulations – Materials Data Science and Informatics (IAS-9), Forschungszentrum Jülich GmbH, Jülich, Germany · Interdisciplinary Centre for Advanced Materials Simulation (ICAMS), Ruhr University Bochum, Bochum, Germany · Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany

  17. Building evidence-based knowledge bases from full-text literature for disease-specific biomedical reasoning

    Mar 30, 2026Chang Zong, Jinyu Chen, Sicheng Lv +4Biomedical KGsKG Construction

    School of Computer Science and Technology, Zhejiang University of Science and Technology, Hangzhou, China · Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China · Zhejiang Key Laboratory of Biomedical Intelligent Computing Technology, Hangzhou, China

  18. Transferable knowledge graphs with executable learned operators for algorithm design

    Mar 30, 2026Camilo Chacón Sartori, José H. García, Andrei Voicu Tomut +1Knowledge GraphsAutomated Algorithm Discovery

    Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain · Artificial Intelligence Research Institute (IIIA-CSIC), Bellaterra, Spain

  19. Semi-Automated Knowledge Engineering and Process Mapping for Total Airport Management

    Mar 27, 2026Darryl Teo, Adharsha Sam, Chuan Shen Marcus Koh +2KG ConstructionLLM Information Extraction

    Aviation Studies Institute, Singapore University of Technology and Design, Singapore

  20. Methods for Knowledge Graph Construction from Text Collections: Development and Applications

    Mar 26, 2026Vanni ZavarellaKG ConstructionDocument Information Extraction

  21. Incorporating contextual information into KGWAS for interpretable GWAS discovery

    Mar 26, 2026Cheng Jiang, Brady Ryan, Megan Crow +7Biomedical KGsKG Construction

    University of Michigan · gRED, Genentech · Stanford University

  22. DAGverse: Building Document-Grounded Semantic DAGs from Scientific Papers

    Mar 26, 2026Shu Wan, Saketh Vishnubhatla, Iskander Kushbay +4KG ConstructionDocument Understanding

    Arizona State University, Tempe AZ 85281, USA · Worcester Polytechnic Institute, Worcester MA 01609, USA

  23. OMD-GraphRAG: Enhancing GraphRAG with Ontology-Guided Extraction, Multi-Dimensional Clustering and Dual-Channel Fusion

    Mar 26, 2026Jie Wang, Honghua Huang, Xi Ge +3Ontology-Guided Information ExtractionGraph Retrieval-Augmented Generation

    Data Science & Artificial Intelligence Research Institute, China Unicom

  24. HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature

    Mar 24, 2026Devvrat Joshi, Islem RekikKG ConstructionRelation Extraction

    BASIRA Lab, Imperial-X (I-X) and Department of Computing Imperial College London, London, United Kingdom

  25. The Semantic Ladder: A Framework for Progressive Formalization of Natural Language Content for Knowledge Graphs and AI Systems

    Mar 23, 2026Lars VogtKnowledge RepresentationKG Construction

    Leibniz Institute for the Analysis of Biodiversity Change (LIB), Museum of Nature Hamburg, Martin-8 Luther-King Platz 3, 20146 Hamburg, Germany

  26. DIAL-KG: Schema-Free Incremental Knowledge Graph Construction via Dynamic Schema Induction and Evolution-Intent Assessment

    Mar 20, 2026Weidong Bao, Yilin Wang, Ruyu Gao +3KG ConstructionKnowledge Graphs

    Department of Computer Science and Engineering, Northeastern University, Shenyang, China

  27. Knowledge Graph Extraction from Biomedical Literature for Alkaptonuria Rare Disease

    Mar 16, 2026Giang Pham, Rebecca Finetti, Caterina Graziani +12KG ConstructionBiomedical KGs

    Department of Computer Science, University of Pisa, Pisa, Italy. · Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy · Department of Information Engineering and Mathematics, University of Siena, Siena, Italy +2

  28. Open Biomedical Knowledge Graphs at Scale: Construction, Federation, and AI Agent Access with Samyama Graph Database

    Mar 16, 2026Madhulatha Mandarapu, Sandeep KunkunuruBiomedical KGsKG Construction

    VaidhyaMegha Private Limited, India

  29. Demand-Driven Context: A Methodology for Building Enterprise Knowledge Bases Through Agent Failure

    Mar 14, 2026Raj Navakoti, Saideep NavakotiLLM AgentsKG Construction

  30. Elenchus: Generating Knowledge Bases from Prover-Skeptic Dialogues

    Mar 7, 2026Bradley P. AllenOutput ElicitationKnowledge Representation

    University of Amsterdam