Review on Construction and Application of Domain Knowledge Graphs: Cross-Domain Practices and Cutting-Edge Explorations Driven by Large Language Models
DOI:
https://doi.org/10.54097/1e73yk08Keywords:
Domain Knowledge Graphs, Large Language Models, Multimodal Fusion, Cross-Domain ApplicationAbstract
Knowledge graphs (KGs) are core infrastructure for artificial intelligence, and large language models (LLMs) have significantly advanced their construction and application. This paper systematically reviews the latest domestic and international research on domain KG construction. Domestically, studies focus on low-resource adaptation and prompt engineering in vertical fields (agriculture, healthcare, education, etc.), such as few-shot extraction via LoRA and zero-shot entity recognition with DeepSeek. Internationally, research emphasizes general frameworks in mineral resources, smart manufacturing, and other areas, including multimodal fusion with Cross-Modal Transformers and quintuple-based knowledge representation. It further analyzes technological evolution and existing challenges. Future directions include deepening LLM-KG synergy and enhancing interpretability. This study provides a systematic reference for intelligent knowledge management.
Downloads
References
[1] Zhang Z J, Sun X H, Wang C, et al. A method for constructing sheep disease knowledge graph based on CaRoMHPE [J]. Transactions of the Chinese Society of Agricultural Engineering, 2023.
[2] Shi Z Y, Lei J, Sun T, et al. Research on low-cost construction of domain knowledge graphs empowered by DeepSeek [J]. Journal of Library and Information Sciences in Agriculture, 2025, 37 (03): 4-17.
[3] Tan P, Liu H N, Wei C F. Construction of knowledge graph for spleen-stomach diseases based on BiLSTM-CRF and Neo4j [J]. Science Technology and Engineering, 2025, 25 (22): 9436-9444.
[4] Meng Q Q, Zheng M R, Tian Y L, et al. Research on knowledge graph construction for multi-source heterogeneous healthcare data [J]. Information Science, 2025.
[5] Yang Y, Lai S N. Research on knowledge graph based on collaborative knowledge construction conversations [J]. Modern Educational Technology, 2025, 35 (08): 97-106.
[6] Wang L L. Construction of knowledge graph for traditional cultural reading promotion in university libraries based on large language models and its optimization path [J]. Information Science, 2024, 42 (12): 130-140.
[7] Zheng A Z, Zhang K L, Li Y L, et al. Research on industrial chain knowledge graph construction based on large model verification enhancement [J]. Journal of Frontiers of Computer Science and Technology, 2023.
[8] Dong L, Wu F J, Shi J Y, et al. Construction and application of multimodal knowledge graph for construction safety based on large language models [J]. Computer Engineering and Applications, 2025, 61 (09): 325-333.
[9] Zhang W D, Chen X P, Weng H Q. Research on construction method of knowledge graph for red figures of the Northeast Anti-Japanese United Army based on large models and LoRA [J]. Information Studies: Theory & Application, 2025, 48 (08): 187-195.
[10] Yang R C, Wang D. Research on construction and application of anti-Japanese war knowledge graph based on event-driven approach [J]. Information Science, 2025, 43 (04): 117-128.
[11] Mo L Z, Zhang Z J, Yang J, et al. Knowledge graph construction and knowledge discovery for porphyry copper deposits [J]. Ore Geology Reviews, 2025, 186.
[12] Tian M, Xie Z, Qiu Q, et al. PMinrKG: polymetallic mineral resources knowledge graph construction and its applications integrated with multimodal data [J]. International Journal of Digital Earth, 2025, 18 (1).
[13] Xu Q, Zhang C, Ma D, et al. Automated multimodal process knowledge graph construction for intelligent process planning with Cross-Modal Transformers [J]. Robotics and Computer-Integrated Manufacturing, 2026, 98.
[14] Jing Y, Zhou G, Zhang C, et al. Knowledge graph construction with meta-learning for continuously accumulated manufacturing knowledge [J]. Computers in Industry, 2025, 172.
[15] Shao P, Huang Z, Qiao L, et al. A novel assembly knowledge graph construction framework enhanced by large language model [J]. The International Journal of Advanced Manufacturing Technology, 2025, 140 (3-4).
[16] Gao S, Yu K, Yang Y, et al. Large language model powered knowledge graph construction for mental health exploration [J]. Nature Communications, 2025, 16 (1).
[17] Hao H, Chen X, Chen Y, et al. Uncovering compound urban crises with large language model-assisted knowledge graph construction [J]. International Journal of Disaster Risk Reduction, 2025, 127.
[18] Wang P, Zhang Y, Zhou Z, et al. SC-LKM: A Semantic Chunking and Large Language Model-Based Cybersecurity Knowledge Graph Construction Method [J]. Electronics, 2025, 14 (14).
[19] Yin Z, Chen Y, Gu J, et al. A knowledge graph construction method based on co-occurrence for traffic entity prediction [J]. International Journal of Applied Earth Observation and Geoinformation, 2025, 142.
[20] Guo Y, Zhu J, Wu J, et al. An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene [J]. International Journal of Digital Earth, 2025, 18 (1).
[21] Wang F, Tao Y, Liu J W, et al. A bimodal fusion construction method for spatiotemporal knowledge graph in smart home space [J]. Journal of Computer Applications, 2025.
[22] Yang Q, Gan L, Mao Q, et al. Construction of a multimodal knowledge graph for LNG carrier port state control inspections based on improved visual prompt tuning [J]. Ocean Engineering, 2025, 339.
[23] Zhang E, Zhang S W, Jia J L. A dynamically updatable knowledge graph construction method for computer-aided process planning and design [J]. Journal of Engineering Design, 2025, 36 (7-9).
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Frontiers in Computing and Intelligent Systems
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
