Introduction: What Is a Knowledge Graph?

A relational model of data for large shared data banks

Codd, E. F. (1970) · Communications of the ACM · doi:10.1145/362384.362685 · Cited by 5,547

Freebase: a collaboratively created graph database for structuring human knowledge

Bollacker, K., Evans, C., Paritosh, P., Sturge, T., & Taylor, J. (2008) · Proceedings of the 2008 ACM SIGMOD international conference on Management of data · doi:10.1145/1376616.1376746 · Cited by 4,852

A relational model of data for large shared data banks

Codd, E. F. (1983) · Communications of the ACM · doi:10.1145/357980.358007 · Cited by 4,796

Wikidata: a free collaborative knowledgebase

Vrandečić, D., & Krötzsch, M. (2014) · Communications of the ACM · doi:10.1145/2629489 · Cited by 3,342

DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia

Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P. N., Hellmann, S., Morsey, M., van Kleef, P., Auer, S., et al. (2015) · Semantic Web · doi:10.3233/sw-140134 · Cited by 3,168

The knowledge level

Newell, A. (1982) · Artificial Intelligence · doi:10.1016/0004-3702(82)90012-1 · Cited by 2,589

Yago: a core of semantic knowledge

Suchanek, F. M., Kasneci, G., & Weikum, G. (2007) · Proceedings of the 16th international conference on World Wide Web · doi:10.1145/1242572.1242667 · Cited by 2,512

DBpedia: A Nucleus for a Web of Open Data

Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., & Ives, Z. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-76298-0_52 · Cited by 2,454

Toward an architecture for never-ending language learning

Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Hruschka, E., & Mitchell, T. (2010) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v24i1.7519 · Cited by 2,000

CYC: a large-scale investment in knowledge infrastructure

Lenat, D. B. (1995) · Communications of the ACM · doi:10.1145/219717.219745 · Cited by 1,969

Biological network analysis with deep learning

Muzio, G., O’Bray, L., & Borgwardt, K. M. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa257 · Cited by 282

Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects

Wan, Y., Liu, Y., Chen, Z., Chen, C., Li, X., Hu, F., & Packianather, M. (2024) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2024.07.009 · Cited by 131

KnetMiner: a comprehensive approach for supporting evidence‐based gene discovery and complex trait analysis across species

Hassani‐Pak, K., Singh, A., Brandizi, M., Hearnshaw, J., Parsons, J. D., Amberkar, S., Phillips, A. L., Doonan, J. H., & Rawlings, C. (2021) · Plant Biotechnology Journal · doi:10.1111/pbi.13583 · Cited by 129

Knowledge graph embedding by relational rotation and complex convolution for link prediction

Le, T., Le, N., & Le, B. H. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.119122 · Cited by 105

Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations

Abu-Rasheed, H., Weber, C., & Fathi, M. (2024) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon60312.2024.10578654 · Cited by 89

Semantic Knowledge Graphs for the News: A Review

Opdahl, A. L., Al-Moslmi, T., Dang‐Nguyen, D., Ocaña, M. G., Tessem, B., & Veres, C. (2022) · ACM Computing Surveys · doi:10.1145/3543508 · Cited by 76

Personalized Flexible Meal Planning for Individuals With Diet-Related Health Concerns: System Design and Feasibility Validation Study

Amiri, M., Li, J., & Hasan, W. U. (2023) · JMIR Formative Research · doi:10.2196/46434 · Cited by 62

Large scale foundation models for intelligent manufacturing applications: a survey

Zhang, H., Semujju, S. D., Wang, Z., Lv, X., Xu, K., Wu, L., Jia, Y., Wu, J., Liang, W., Zhuang, R., et al. (2025) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-024-02536-7 · Cited by 61

Semantic models and knowledge graphs as manufacturing system reconfiguration enablers

Mo, F., Chaplin, J. C., SANDERSON, D. R., Martínez-Arellano, G., & Ratchev, S. M. (2023) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2023.102625 · Cited by 59

HetDDI: a pre-trained heterogeneous graph neural network model for drug–drug interaction prediction

Li, Z., Tu, X., Chen, Y., & Lin, W. (2023) · Briefings in Bioinformatics · doi:10.1093/bib/bbad385 · Cited by 56

Geoscience Knowledge Graph (GeoKG): Development, construction and challenges

Zhang, X., Huang, Y., Zhang, C., & Ye, P. (2022) · Transactions in GIS · doi:10.1111/tgis.12985 · Cited by 54

Construction and Application of a Knowledge Graph for Iron Deposits Using Text Mining Analytics and a Deep Learning Algorithm

Qiu, Q., Ma, K., Lv, H., Tao, L., & Xie, Z. (2023) · Mathematical Geosciences · doi:10.1007/s11004-023-10050-4 · Cited by 52

Understanding ore-forming conditions using machine reading of text

Enkhsaikhan, M., Holden, E., Duuring, P., & Liu, W. (2021) · Ore Geology Reviews · doi:10.1016/j.oregeorev.2021.104200 · Cited by 51

Understanding geological reports based on knowledge graphs using a deep learning approach

Wang, B., Wu, L., Xie, Z., Qiu, Q., Zhou, Y., Ma, K., & Tao, L. (2022) · Computers & Geosciences · doi:10.1016/j.cageo.2022.105229 · Cited by 50

Knowledge management in industry 4.0 environment for sustainable competitive advantage: a strategic framework

Gupta, A., Singh, R. K., Kamble, S., & Mishra, R. (2022) · Knowledge Management Research & Practice · doi:10.1080/14778238.2022.2144512 · Cited by 49

Application of knowledge graph in software engineering field: A systematic literature review

Wang, L., Sun, C., Zhang, C., Nie, W., & Huang, K. (2023) · Information and Software Technology · doi:10.1016/j.infsof.2023.107327 · Cited by 43

Promoting Personalized Reminiscence Among Cognitively Intact Older Adults Through an AI-Driven Interactive Multimodal Photo Album: Development and Usability Study

Wang, X., Li, J., Liang, T., Hasan, W. U., Zaman, K. T., Du, Y., Xie, B., & Tao, C. (2023) · JMIR Aging · doi:10.2196/49415 · Cited by 43

Evolving Knowledge Management: Artificial Intelligence and the Dynamics of Social Interactions

He, X., & Burger‐Helmchen, T. (2024) · IEEE Engineering Management Review · doi:10.1109/emr.2024.3519342 · Cited by 41

Building Trust in Conversational AI: A Review and Solution Architecture Using Large Language Models and Knowledge Graphs

Zafar, A., Parthasarathy, V. B., Van, C. L., Shahid, S., Khan, A. I., & Shahid, A. (2024) · Big Data and Cognitive Computing · doi:10.3390/bdcc8060070 · Cited by 37

Sweetening the deal: an infodemiological study of worldwide interest in semaglutide using Google Trends extended for health application programming interface

Raubenheimer, J., Myburgh, P. H., & Bhagavathula, A. S. (2024) · BMC Global and Public Health · doi:10.1186/s44263-024-00095-w · Cited by 37

Empowering Dataspace 4.0: Unveiling Promise of Decentralized Data-Sharing

Alsamhi, S. H., Hawbani, A., Kumar, S., Timilsina, M., Al-Qatf, M., Haque, R., Nashwan, F., Zhao, L., & Curry, E. (2024) · IEEE Access · doi:10.1109/access.2024.3442968 · Cited by 31

How AI Helps to Increase Organizations’ Capacity to Manage Complexity – A Research Perspective and Solution Approach Bridging Different Disciplines

Azzam, M., & Beckmann, R. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3179107 · Cited by 31

Knowledge graph reasoning for cyber attack detection

Gilliard, E., Liu, J., & Aliyu, A. A. (2024) · IET Communications · doi:10.1049/cmu2.12736 · Cited by 30

A Heritage Digital Twin ontology-based description of Giovanni Baronzio's “Crucifixion of Christ” analytical investigation

Hermon, S., Niccolucci, F., Bakirtzis, N., & Gasanova, S. (2023) · Journal of Cultural Heritage · doi:10.1016/j.culher.2023.11.004 · Cited by 29

Lifecycle framework for AI-driven parametric generative design in industrialized construction

Gao, M. Y., Li, C., Petzold, F., Tiong, R. L. K., & Yang, Y. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106146 · Cited by 28

Unfolding Explainable AI for Brain Tumor Segmentation

Hassan, M. A., Fateh, A. A., Lin, J., Zhuang, Y., Lin, G., Xiong, H., You, Z., Qin, P., & Zeng, H. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.128058 · Cited by 28

Topological properties and organizing principles of semantic networks

Budel, G., Jin, Y., Mieghem, P. V., & Kitsak, M. (2023) · Scientific Reports · doi:10.1038/s41598-023-37294-8 · Cited by 26

Leveraging semantic context to establish access controls for secure cloud-based electronic health records

Walid, R., Joshi, K. P., & Choi, S. G. (2024) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2023.100211 · Cited by 26

Edge-enabled federated sequential recommendation with knowledge-aware Transformer

Wei, S., Meng, S., Li, Q., Zhou, X., Qi, L., & Xu, X. (2023) · Future Generation Computer Systems · doi:10.1016/j.future.2023.06.028 · Cited by 25

KnetMiner: a comprehensive approach for supporting evidence-based gene discovery and complex trait analysis across speciesPreprint

Hassani‐Pak, K., Singh, A., Brandizi, M., Hearnshaw, J., Amberkar, S., Phillips, A. L., Doonan, J. H., & Rawlings, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.02.017004 · Cited by 25

Development of Knowledge Graph for Data Management Related to Flooding Disasters Using Open Data

Son, J., Lim, C.-S., Shim, H.-S., & Kang, J.-S. (2021) · Future Internet · doi:10.3390/fi13050124 · Cited by 24

Computer Science & Information Technology (CS & IT)

(2021) · doi:10.5121/csit.2021.1103 · Cited by 24

A survey of inductive knowledge graph completion

Liang, X., Si, G., Li, J., Tian, P., An, Z., & Zhou, F. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-09286-2 · Cited by 23

An ontology-based web decision support system to find entertainment points of interest in an urban area

Vahidnia, M. H., Minaei, M., & Behzadi, S. (2023) · Geo-spatial Information Science · doi:10.1080/10095020.2022.2161954 · Cited by 22

One Size Fits All: A Unified Traffic Predictor for Capturing the Essential Spatial–Temporal Dependency

Luo, G., Zhang, H., Yuan, Q., Li, J., Wang, W., & Wang, F. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3259045 · Cited by 22

Self-derived Knowledge Graph Contrastive Learning for Recommendation

Shi, L., Yang, J., Lv, P., Yuan, L., Kou, F., Luo, J., & Xu, M. (2024) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3664647.3681693 · Cited by 21

From social networks to knowledge graphs: A plea for interdisciplinary approaches

Dörpinghaus, J., Klante, S., Christian, M., Meigen, C., & Düing, C. (2022) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2022.100337 · Cited by 20

Convergence of Blockchain, Autonomous Agents, and Knowledge Graph to Share Electronic Health Records

Yao, Y., Kshirsagar, M., Vaidya, G., Ducrée, J., & Ryan, C. (2021) · Frontiers in Blockchain · doi:10.3389/fbloc.2021.661238 · Cited by 19

Integrating knowledge graphs with ancient Chinese medicine classics: challenges and future prospects of multi-agent system convergence

Xiang, S., Lin, H., Cai, F., & Jiang, Z. (2025) · Chinese Medicine · doi:10.1186/s13020-025-01226-7 · Cited by 18

ELLAS: Uma plataforma de dados abertos com foco em lideranças femininas em STEM no contexto da América Latina

Berardi, R. C. G., Auceli, P. H. S., Maciel, C. D. O., Dávila, G. A., Guzman, I. R., & Mendes, L. (2023) · Anais do Women in Information Technology (WIT) · doi:10.5753/wit.2023.230764 · Cited by 18

Semantic Information Extraction for Text Data with Probability Graph

Zhao, Z., Yang, Z., Hu, Y., Lin, L., & Zhang, Z. (2023) · IEEE/CIC International Conference on Communications in China (ICCC) · doi:10.1109/icccworkshops57813.2023.10233741 · Cited by 18

An LLM supported approach to ontology and knowledge graph construction

Yang, H., Xiao, L., Zhu, R., Liu, Z., & Chen, J. (2024) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm62325.2024.10822222 · Cited by 18

A methodology for the systematic design of storytelling dashboards applied to Industry 4.0

Lavalle, A., Maté, A., Santos, M. Y., Guimarães, P., Trujillo, J. C., & Santos, A. (2025) · Data & Knowledge Engineering · doi:10.1016/j.datak.2025.102410 · Cited by 18

More intelligent knowledge graph: A large language model-driven method for knowledge representation in geospatial digital twins

Zhang, J., Zhu, J., Guo, Z., Wu, J., Guo, Y., Lai, J., & Li, W. (2025) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2025.104527 · Cited by 17

Construction of a fluvial facies knowledge graph and its application in sedimentary facies identification

Zhang, L., Hou, M., Chen, A., Zhong, H., Ogg, J. G., & Zheng, D. (2022) · Geoscience Frontiers · doi:10.1016/j.gsf.2022.101521 · Cited by 17

Is dc:subject enough? A landscape on iconography and iconology statements of knowledge graphs in the semantic web

Baroncini, S., Sartini, B., van Erp, M., Tomasi, F., & Aldo Gangemi, A. (2023) · Journal of Documentation · doi:10.1108/jd-09-2022-0207 · Cited by 17

Pragmatic GeoAI: Geographic Information as Externalized Practice

Scheider, S., & Richter, K. (2023) · Künstliche Intell. · doi:10.1007/s13218-022-00794-2 · Cited by 16

Comprehensive review of academic search systems: evolution, analysis, and future research directions

Khalid, S., Almutairi, S. S., Namoun, A., Khan, J., Khattak, H. A., & Shah, H. (2025) · Social Network Analysis and Mining · doi:10.1007/s13278-025-01476-1 · Cited by 15

Scaling R-GCN Training with Graph Summarization

Generale, A., Blume, T., & Cochez, M. (2022) · International World Wide Web Conference (WWW) · doi:10.1145/3487553.3524719 · Cited by 15

Hey Max, Can You Help Me? An Intuitive Virtual Assistant for Industrial Robots

Li, C., Chrysostomou, D., Pinto, D., Hansen, A. K., Bøgh, S., & Madsen, O. (2022) · Applied Sciences · doi:10.3390/app13010205 · Cited by 15

Semantic-enhanced reasoning question answering over temporal knowledge graphs

Du, C., Li, X., & Li, Z. (2024) · Journal of Intelligent Information Systems · doi:10.1007/s10844-024-00840-5 · Cited by 15

Ontology-driven relational data mapping for constructing a knowledge graph of porphyry copper deposits

Wang, C., Tan, L., Li, Y., Wang, M., Ma, X., & Chen, J. (2024) · Earth Science Informatics · doi:10.1007/s12145-024-01307-5 · Cited by 15

Question answering system for chemistry—A semantic agent extension

Zhou, X., Nurkowski, D., Menon, A., Akroyd, J., Mosbach, S., & Kraft, M. (2022) · Digital Chemical Engineering · doi:10.1016/j.dche.2022.100032 · Cited by 14

An Open Data Platform to Advance Gender Equality in STEM in Latin America

Maciel, C. D. O., Guzman, I. R., Berardi, R. C. G., Rodríguez-Rodríguez, N., Salgado, L. C. D. C., Frigo, L. B., Branisa, B., & Jiménez, E. (2024) · Communications of the ACM · doi:10.1145/3653294 · Cited by 14

Critical success and failure factors in the AI lifecycle: a knowledge graph-based ontological study

Hao, X., Demir, E., & Eyers, D. R. (2025) · Journal of Modelling in Management · doi:10.1108/jm2-06-2024-0204 · Cited by 13

DKG-PIPD: A Novel Method About Building Deep Knowledge Graph

Liu, Y. (2021) · IEEE Access · doi:10.1109/access.2021.3116467 · Cited by 13

NLP is Not enough -- Contextualization of User Input in ChatbotsPreprint

Dolbir, N., Dastidar, T. G., & Roy, K. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.06511 · Cited by 13

A comprehensive evaluation of machine learning algorithms for web application attack detection with knowledge graph integration

Ismail, M., Alrabaee, S., Choo, K.-K. R., Ali, L., & Harous, S. (2024) · Mobile Networks and Applications · doi:10.1007/s11036-024-02367-z · Cited by 12

Digital Twin as A New Approach to Data Management: A Review

Malaibari, M., Siddiqui, M., Xie, S., Bahramimianrood, B., Abdoli, S., & Djukic, L. (2024) · Procedia CIRP · doi:10.1016/j.procir.2024.06.028 · Cited by 12

A storytelling framework based on multimedia knowledge graph using linked open data and deep neural networks

Renzi, G. D., Rinaldi, A. M., Russo, C., & Tommasino, C. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-14398-x · Cited by 11

Construction of a large-scale maritime element semantic schema based on knowledge graph models for unmanned automated decision-making

Li, Y., Liu, X., Wang, Z., Mei, Q., Xie, W., Yang, Y., & Wang, P. (2024) · Frontiers in Marine Science · doi:10.3389/fmars.2024.1390931 · Cited by 11

A review of feature selection strategies utilizing graph data structures and Knowledge Graphs

Shao, S., Ribeiro, P. H., Ramirez, C. M., & Moore, J. H. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae521 · Cited by 11

Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge GraphPreprint

Zafar, A., Parthasarathy, V. B., Van, C. L., Shahid, S., Khan, A. I., & Shahid, A. (2023) · doi:10.36227/techrxiv.24009351.v1 · Cited by 11

Automatic Knowledge Graph matching via Self-adaptive Designed Genetic Programming

Xue, X. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.111628 · Cited by 10

Surveying More Than Two Decades of Music Information Retrieval Research on Playlists

Gabbolini, G., & Bridge, D. (2024) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3688398 · Cited by 10

Wikidata and knowledge graphs in practice: Using semantic SEO to create discoverable, accessible, machine-readable definitions of the people, places, and services in Libraries and Archives

Clark, J. A., Williams, H. K. R., & Rossmann, D. (2022) · Information Services & Use · doi:10.3233/isu-220171 · Cited by 10

Overview of the Application of Knowledge Graph in Anomaly Detection and Fault Diagnosis

Huang, P., Liu, S., Zhang, K., Xu, T., & Yi, X. (2022) · International Conference on System Reliability and Safety Engineering (SRSE) · doi:10.1109/srse56746.2022.10067308 · Cited by 10

An adaptive semantic retrieval framework for digital libraries integrating graph neural networks, ontology, and user behavior

Bi, R. (2025) · Scientific Reports · doi:10.1038/s41598-025-24276-1 · Cited by 9

Structure-Information-Based Reasoning over the Knowledge Graph: A Survey of Methods and Applications

Meng, S., Zhou, J., Chen, X., Liu, Y., Lu, F., & Huang, X. (2024) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3671148 · Cited by 9

Gene-to-trait knowledge graphs show association of plant photoreceptors with physiological and developmental processes that can confer agronomic benefits

Mawkhiew, H. B., Sahoo, L., & Kharshiing, E. V. (2021) · Genetic Resources and Crop Evolution · doi:10.1007/s10722-021-01214-4 · Cited by 9

Generating Interesting Song-to-Song Segues With Dave

Gabbolini, G., & Bridge, D. (2021) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3450613.3456819 · Cited by 9

Blockchain-as-a-Service Powered Knowledge Graph Construction

Li, Y., Yin, H., Gai, K., Zhu, L., & Wang, Q. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-82153-1_41 · Cited by 9

Enhancing downstream tasks in Knowledge Graphs Embeddings: A Complement Graph-based Approach Applied to Bilateral Trade

Rincon-Yanez, D., Mouakher, A., & Senatore, S. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2023.10.364 · Cited by 9

Multi-feature fusion stock prediction based on knowledge graph

Liu, Z., Qian, Y., Lv, W., Fang, Y., & Liu, S. (2024) · The Electronic Library · doi:10.1108/el-02-2023-0053 · Cited by 9

Towards data-driven electricity management: multi-region uniform data and knowledge graph

Hanžel, V., Bertalanič, B., & Fortuna, C. (2025) · Scientific Data · doi:10.1038/s41597-024-04310-z · Cited by 9

Knowledge graph-derived feed efficiency analysis via pig gut microbiota

Zhang, J., Jiang, Q., Du, Z., Geng, Y., Hu, Y., Tong, Q., Song, Y., Zhang, H., Yan, X., & Feng, Z. (2024) · Scientific Reports · doi:10.1038/s41598-024-64835-6 · Cited by 8

Knowledge Graph-Based Recommender Systems to Mitigate Data Sparsity: A Systematic Literature Review

Boualaoui, B., Zellou, A., & Berquedich, M. (2025) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v19i03.49427 · Cited by 8

Meta-learning framework with updating information flow for enhancing inductive prediction

Zhang, X., Dang, J., Wang, Y., & Li, S. X. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.111720 · Cited by 8

Fault Diagnosis for Test Alarms in Microservices through Multi-source Data

Zhang, S., Zhu, J., Hao, B., Sun, Y., Nie, X., Zhu, J., Liu, X., Li, X., Ma, Y., & Pei, D. (2024) · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · doi:10.1145/3663529.3663833 · Cited by 8

Towards Explainable Access Control [BlueSky Paper]

Mehri, G. H., Morisset, C., & Zannone, N. (2025) · ACM Symposium on Access Control Models and Technologies (SACMAT) · doi:10.1145/3734436.3734439 · Cited by 7

GDPR Data Sharing Contract Management and Compliance Verification Tool

Tauqeer, A., & Fensel, A. (2024) · Software Impacts · doi:10.1016/j.simpa.2024.100653 · Cited by 7

Risk identification of listed companies violation by integrating knowledge graph and multi-source risk factors

Wang, J., Li, P., Liu, Y., Xiong, X., Zhang, Y., & Lv, Z. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.109774 · Cited by 7

Pedagogically-Informed Implementation of Reinforcement Learning on Knowledge Graphs for Context-Aware Learning Recommendations

Abu-Rasheed, H., Weber, C., Dornhöfer, M., & Fathi, M. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-42682-7_35 · Cited by 7

Knowledge Detection and Discovery using Semantic Graph Embeddings on Large Knowledge Graphs generated on Text Mining Results

Dörpinghaus, J., & Jacobs, M. D. (2020) · Annals of Computer Science and Information Systems · doi:10.15439/2020f36 · Cited by 7

A geological knowledge-constrained entity and relation extraction method for text: A case study of granitic pegmatite-type lithium deposits

Tao, J., Zhang, N., Chang, J., Li, M.-J., Zhang, H., Liao, S., Li, S., & Jing, J. (2025) · Computers & Geosciences · doi:10.1016/j.cageo.2025.105920 · Cited by 6

Towards Knowledge Graph Creation from Greek Governmental Documents

Georgoudi, A., Stylianou, N., Konstantinidis, I., Μεδίτσκος, Γ., Mavropoulos, T., Vrochidis, S., & Bassiliades, N. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-36819-6_26 · Cited by 6

Designing a knowledge-enhanced framework to support supply chain information management

Su, P., & Chen, D. (2025) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2025.100874 · Cited by 6

Towards intelligent landslide susceptibility evaluation: Knowledge extraction and rule mining

Yang, X., Xu, Q., Liu, Q., Hu, X. Y., Xie, G., Jiang, Y., Zhang, D., & Deng, M. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.114656 · Cited by 5

ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application Analysis

Sun, J., & Luo, Z. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11228178 · Cited by 5

TSEE: a novel knowledge embedding framework for cyberspace security

Zhao, A., Gu, Z., Jia, Y., Feng, W., Yang, J., & Zhang, Y. (2023) · World Wide Web · doi:10.1007/s11280-023-01220-9 · Cited by 5

Ontology of active and passive environmental exposure

Vámos, C. K., Scheider, S., Sonnenschein, T., & Vermeulen, R. C. H. (2024) · Semantic Web · doi:10.3233/sw-243546 · Cited by 5

From Unstructured Data to Knowledge Graphs: An Application for Compliance Checking Problem

Karmakar, A., Patel, C., & Delhi, V. S. K. (2024) · International Symposium on Automation and Robotics in Construction (ISARC) · doi:10.22260/isarc2024/0112 · Cited by 5

Generic User Behavior: A User Behavior Similarity-Based Recommendation Method

Hu, Z., Lin, W., Ye, X., Xu, H., Zhong, H., Huang, H., & Wang, X. (2023) · Big Data · doi:10.1089/big.2022.0260 · Cited by 5

Enabling personalised disease diagnosis by combining a patient’s time-specific gene expression profile with a biomedical knowledge base

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An Intelligent Q&A Module for Tea Diseases and Pests Based on Automatic Knowledge Graph Construction

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The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data

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ORBIS: An AI-Enabled Architecture for Scaling Online Deliberation

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Emergent knowledge patterns in verification artifacts

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An Entity Relation Extraction Framework Based on Large Language Model and Multi-Tasks Iterative Prompt Engineering

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Enhancing Knowledge Graph Completion with Retrieval-Augmented Generation Using Large Language Models

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Towards a Definition of Knowledge Graphs.

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Knowledge Graphs

Hogan, A., Gutiérrez, C., Cochez, M., de Melo, G., Kirrane, S., Polleres, A., Roberto Navigli, A., Ngomo, A.-C. N., Rashid, S. M., Schmelzeisen, L., et al. (2022) · Synthesis lectures on data, semantics and knowledge · doi:10.1007/978-3-031-01918-0 · Cited by 117

Introduction

Hogan, A., Gutiérrez, C., Cochez, M., de Melo, G., Kirrane, S., Axel Polleres, A., Roberto Navigli, A., Ngomo, A.-C. N., Rashid, S. M., Schmelzeisen, L., et al. (2022) · Synthesis lectures on data, semantics and knowledge · doi:10.1007/978-3-031-01918-0_1 · Cited by 7

Knowledge Graph Foundations

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