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The system integrates vectorization, clustering, topic modelling, dimensionality reduction, and fuzzy logic to combine both formal (vector-based) and semantic (topic-based) approaches. Interactive 3D visualization supports intuitive exploration of thematic clusters, allowing users to highlight relevant documents and adjust analytical parameters. Validation on a maritime safety case study confirmed the system\u2019s ability to process large publication collections, identify relevant sources, and reveal underlying knowledge structures. Compared to established frameworks such as PRISMA or Scopus\/WoS Analytics, the proposed tool operates directly on full-text content, provides deeper thematic classification, and does not require subscription-based databases. The study also addresses the limitations arising from data bias and reproducibility issues in the semantic interpretability of safety-critical decision-making systems. The approach offers practical value for organizations in safety-critical domains\u2014including transportation, energy, cybersecurity, and human\u2013machine interaction\u2014where rapid access to thematically related research is essential.<\/jats:p>","DOI":"10.3390\/make7040150","type":"journal-article","created":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T13:09:25Z","timestamp":1763989765000},"page":"150","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Machine Learning-Based Semantic Analysis of Scientific Publications for Knowledge Extraction in Safety-Critical Domains"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5067-9766","authenticated-orcid":false,"given":"Pavlo","family":"Nosov","sequence":"first","affiliation":[{"name":"Department of Technical Cybernetics and Information Technology, Odesa National Maritime University, Mechnikov 34, 65029 Odessa, Ukraine"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9228-8459","authenticated-orcid":false,"given":"Oleksiy","family":"Melnyk","sequence":"additional","affiliation":[{"name":"Department of Navigation and Maritime Safety, Odesa National Maritime University, Mechnikov 34, 65029 Odessa, Ukraine"}]},{"given":"Mykola","family":"Malaksiano","sequence":"additional","affiliation":[{"name":"Department of Technical Cybernetics and Information Technology, Odesa National Maritime University, Mechnikov 34, 65029 Odessa, Ukraine"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7358-9299","authenticated-orcid":false,"given":"Pavlo","family":"Mamenko","sequence":"additional","affiliation":[{"name":"Department of Ship Handling, Kherson State Maritime Academy, Nezalezhnjsti 20, 73003 Kherson, Ukraine"}]},{"given":"Dmytro","family":"Onyshko","sequence":"additional","affiliation":[{"name":"Department of Ship Computer Systems and Networks, Kherson State Maritime Academy, Nezalezhnjsti 20, 73003 Kherson, Ukraine"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2387-9946","authenticated-orcid":false,"given":"Oleksij","family":"Fomin","sequence":"additional","affiliation":[{"name":"Department of Cars and Carriage Facilities, National Transport University, Kyrylivska Street, 9, 04071 Kyiv, Ukraine"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2863-0226","authenticated-orcid":false,"given":"V\u00e1clav","family":"P\u00ed\u0161t\u011bk","sequence":"additional","affiliation":[{"name":"Institute of Automotive Engineering, Faculty of Mechanical Engineering, Brno University of Technology, Technick\u00e1 2896\/2, 616 69 Brno, Czech Republic"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9652-9897","authenticated-orcid":false,"given":"Pavel","family":"Ku\u010dera","sequence":"additional","affiliation":[{"name":"Institute of Automotive Engineering, Faculty of Mechanical Engineering, Brno University of Technology, Technick\u00e1 2896\/2, 616 69 Brno, Czech Republic"}]}],"member":"1968","published-online":{"date-parts":[[2025,11,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"110547","DOI":"10.1016\/j.ress.2024.110547","article-title":"Letting Losses Be Lessons: Human\u2013Machine Cooperation in Maritime Transport","volume":"253","author":"Fan","year":"2025","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_2","first-page":"730","article-title":"Human\u2013Machine Interaction Challenges for Bridge Operations in Large Passenger Ships and Future Improvements from the Deck Officers\u2019 Perspective","volume":"95","author":"Man","year":"2023","journal-title":"Hum. Factors Transp."},{"key":"ref_3","first-page":"193","article-title":"Ensuring Fast Interaction with HMIs for Safety-Critical Systems: An Extension of the Human\u2013Machine Interface Design Method KONECT","volume":"119","author":"Saager","year":"2024","journal-title":"Intell. Hum. Syst. Integr."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Veitch, E., and Alsos, O.A. (2021). Human\u2013Centered Explainable Artificial Intelligence for Marine Autonomous Surface Vehicles. J. Mar. Sci. Eng., 9.","DOI":"10.3390\/jmse9111227"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Peeters, G., Yayla, G., Catoor, T., Van Baelen, S., Afzal, M.R., Christofakis, C., Storms, S., Boonen, R., and Slaets, P. (2020). An Inland Shore Control Centre for Monitoring or Controlling Unmanned Inland Cargo Vessels. J. Mar. Sci. Eng., 8.","DOI":"10.3390\/jmse8100758"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"157316","DOI":"10.1109\/ACCESS.2021.3130741","article-title":"An Outlook on the Future Marine Traffic Management System for Autonomous Ships","volume":"9","author":"Martelli","year":"2021","journal-title":"IEEE Access"},{"key":"ref_7","first-page":"640","article-title":"On the Road to Autonomous Maritime Transport: A Conceptual Framework to Meet Training Needs for Future Ship Operations","volume":"60","author":"Emad","year":"2022","journal-title":"Adv. Transp."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1080\/01441647.2024.2325453","article-title":"A Human-Centred Review on Maritime Autonomous Surface Ships: Impacts, Responses, and Future Directions","volume":"44","author":"Li","year":"2024","journal-title":"Transp. Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1007\/s00773-021-00834-w","article-title":"Prediction of Human\u2013Machine Interface (HMI) Operational Errors for Maritime Autonomous Surface Ships (MASS)","volume":"27","author":"Liu","year":"2021","journal-title":"J. Mar. Sci. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1080\/20464177.2024.2414959","article-title":"Safety and Efficiency of Human\u2013MASS Interactions: Towards an Integrated Framework","volume":"24","author":"Song","year":"2024","journal-title":"J. Mar. Eng. Technol."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"G\u00f6zalan, A., John, O., L\u00fcbcke, T., Maier, A., Reimann, M., Richter, J.-G., and Zverev, I. (2020). Assisting Maritime Search and Rescue (SAR) Personnel with AI-Based Speech Recognition and Smart Direction Finding. J. Mar. Sci. Eng., 8.","DOI":"10.3390\/jmse8100818"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Danial, S.N., Smith, D., and Veitch, B. (2021). A Method to Detect Anomalies in Complex Socio-Technical Operations Using Structural Similarity. J. Mar. Sci. Eng., 9.","DOI":"10.3390\/jmse9020212"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Pedersen, O.-M., and Kim, E. (2020). Arctic Vision: Using Neural Networks for Ice Object Classification, and Controlling How They Fail. J. Mar. Sci. Eng., 8.","DOI":"10.3390\/jmse8100770"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Simion, D., Postolache, F., Fleac\u0103, B., and Fleac\u0103, E. (2024). AI-Driven Predictive Maintenance in Modern Maritime Transport-Enhancing Operational Efficiency and Reliability. Appl. Sci., 14.","DOI":"10.20944\/preprints202409.0930.v1"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Cao-Feij\u00f3o, G., P\u00e9rez-Canosa, J.M., P\u00e9rez-Castelo, F.J., and Orosa, J.A. (2024). Deep Learning Methods to Mitigate Human-Factor-Related Accidents in Maritime Transport. J. Mar. Sci. Eng., 12.","DOI":"10.3390\/jmse12101819"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Bhaganagar, K., Kolar, P., Faruqui, S.H.A., Bhattacharjee, D., Alaeddini, A., and Subbarao, K. (2022). A Novel Machine-Learning Framework with a Moving Platform for Maritime Drift Calculations. Front. Mar. Sci., 9.","DOI":"10.3389\/fmars.2022.831501"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Bandara, D., Woodward, M., Chin, C., and Jiang, D. (2020). Augmented Reality Lights for Compromised Visibility Navigation. J. Mar. Sci. Eng., 8.","DOI":"10.3390\/jmse8121014"},{"key":"ref_18","unstructured":"Abdullah, A., Blow, D., Chen, R., Uthai, T., Du, E.J., and Islam, M.J. (2024). Human-Machine Interfaces for Subsea Telerobotics: From Soda-Straw to Natural Language Interactions [Preprint]. arXiv."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Kari, R., and Steinert, M. (2021). Human Factor Issues in Remote Ship Operations: Lessons Learned by Studying Different Domains. J. Mar. Sci. Eng., 9.","DOI":"10.3390\/jmse9040385"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"106662","DOI":"10.1016\/j.ocecoaman.2023.106662","article-title":"Analysing Seafarer Competencies in a Dynamic Human\u2013Machine System","volume":"240","author":"Fan","year":"2023","journal-title":"Ocean Coast. Manag."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Misztal, L., and Hatlas-Sowinska, P. (2025). The Impact of the Human Factor on Communication during a Collision Situation in Maritime Navigation. Appl. Sci., 15.","DOI":"10.20944\/preprints202502.0016.v1"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Liu, Z., Wang, X., Xie, H., Tao, J., Wang, J., and Yang, Z. (2024). Human Errors Analysis for Remotely Controlled Ships during Collision Avoidance. Front. Mar. Sci., 11.","DOI":"10.3389\/fmars.2024.1473367"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Aylward, K., Weber, R., Man, Y., Lundh, M., and MacKinnon, S.N. (2020). \u201cAre You Planning to Follow Your Route?\u201d The Effect of Route Exchange on Decision Making, Trust, and Safety. J. Mar. Sci. Eng., 8.","DOI":"10.3390\/jmse8040280"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Smith, J., Yazdanpanah, F., Thistle, R., Musharraf, M., and Veitch, B. (2020). Capturing Expert Knowledge to Inform Decision Support Technology for Marine Operations. J. Mar. Sci. Eng., 8.","DOI":"10.3390\/jmse8090689"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Wang, S., Gang, L., Liu, T., Lan, Z., and Li, C. (2025). Analysis of the Characteristics of Ship Collision-Avoidance Behavior Based on Apriori and Complex Network. J. Mar. Sci. Eng., 13.","DOI":"10.3390\/jmse13010035"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Du, W., Liu, J., Li, H., Grifoll, M., Song, W., and Zheng, P. (2024). Determination of Ship Collision Avoidance Timing Using Machine Learning Method. Sustainability, 16.","DOI":"10.3390\/su16114626"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Zheng, J., Liu, B., Li, Y., and Huang, C. (2024). Unmanned Ship Collision Avoidance Action Plan Deduction Method under Man\u2013Machine Interactive Negotiation in Collision Avoidance Scenarios. J. Mar. Sci. Eng., 12.","DOI":"10.3390\/jmse12101842"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Zhou, H., Zheng, M., Chu, X., Yu, C., Lei, J., Lin, B., Zhang, K., and Hua, W. (2024). Virtual Reality Fusion Testing\u2013Based Autonomous Collision Avoidance of Ships in Open Water: Methods and Practices. J. Mar. Sci. Eng., 12.","DOI":"10.3390\/jmse12122181"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Park, J., and Jeong, J.-S. (2021). An Estimation of Ship Collision Risk Based on Relevance Vector Machine. J. Mar. Sci. Eng., 9.","DOI":"10.3390\/jmse9050538"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"7537825","DOI":"10.1155\/2021\/7537825","article-title":"An Optimized Collision Avoidance Decision-Making System for Autonomous Ships under Human\u2013Machine Cooperation Situations","volume":"2021","author":"Wu","year":"2021","journal-title":"J. Adv. Transp."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"107913","DOI":"10.1016\/j.oceaneng.2020.107913","article-title":"A Ship Collision Avoidance System for Human\u2013Machine Co-Operation during Collision Avoidance","volume":"207","author":"Huang","year":"2020","journal-title":"Ocean Eng."},{"key":"ref_32","unstructured":"Huang, Y. (2019). Supporting Human\u2013Machine Interaction in Ship Collision Avoidance Systems. [Doctoral Dissertation, Delft University of Technology]."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"4116","DOI":"10.1080\/10447318.2023.2209838","article-title":"A Systematic Literature Review of Augmented Reality for Maritime Collaboration","volume":"40","author":"Fjeld","year":"2024","journal-title":"Int. J. Hum.-Comput. Interact."},{"key":"ref_34","first-page":"48","article-title":"Development of Control Model for Loading Operations on Heavy Lift Vessels Based on Inverse Algorithm","volume":"5","author":"Solovey","year":"2020","journal-title":"East. Eur. J. Enterp. Technol."},{"key":"ref_35","first-page":"55","article-title":"Navigation Safety Control System Development through Navigator Action Prediction by Data Mining Means","volume":"2","author":"Nosov","year":"2021","journal-title":"East. Eur. J. Enterp. Technol."},{"key":"ref_36","first-page":"6","article-title":"Devising an Approach for the Automated Restoration of Shipmaster\u2019s Navigational Qualification Parameters under Risk Conditions","volume":"1","author":"Ponomaryova","year":"2024","journal-title":"East. Eur. J. Enterp. Technol."},{"key":"ref_37","first-page":"130","article-title":"Control of the Pivot Point Position of a Conventional Single\u2013Screw Vessel","volume":"Volume 3513","author":"Kobets","year":"2023","journal-title":"CEUR Workshop Proceedings"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Zinchenko, S., Kyrychenko, K., Grosheva, O., Nosov, P., Popovych, I., and Mamenko, P. (2023, January 21\u201323). Automatic Reset of Kinetic Energy in Case of Inevitable Collision of Ships. Proceedings of the 13th International Conference on Advanced Computer Information Technologies (ACIT), Wroc\u0142aw, Poland.","DOI":"10.1109\/ACIT58437.2023.10275545"},{"key":"ref_39","first-page":"582","article-title":"Intelligent System Control of the Vessel Executive Devices Redundant Structure","volume":"Volume 3403","author":"Zinchenko","year":"2023","journal-title":"CEUR Workshop Proceedings"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1007\/978-3-031-35088-7_37","article-title":"Simulation-Based Method for Predicting Changes in the Ship\u2019s Seaworthy Condition under Impact of Various Factors","volume":"Volume 481","author":"Melnyk","year":"2023","journal-title":"Studies in Systems, Decision and Control"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1007\/978-3-031-35088-7_40","article-title":"Development of the Method of Shipboard Operations Risk Assessment Quality Evaluation Based on Experts Review","volume":"Volume 481","author":"Melnyk","year":"2023","journal-title":"Studies in Systems, Decision and Control"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"31","DOI":"10.62821\/lp10403","article-title":"Impact of AIS Manipulation on Shipping Safety and Strategic Countermeasures","volume":"10","author":"Melnyk","year":"2024","journal-title":"Lex Portus"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"7","DOI":"10.62821\/lp11101","article-title":"Cybersecurity in Maritime Transport: An International Perspective on Regulatory Frameworks and Countermeasures","volume":"11","author":"Melnyk","year":"2025","journal-title":"Lex Portus"},{"key":"ref_44","first-page":"174","article-title":"Chronic Stress and Resilience of Students in Conditions of Excessive Mobile Phone Usage","volume":"13","author":"Limasheva","year":"2025","journal-title":"Insight Psychol. Dimens. Soc."},{"key":"ref_45","first-page":"96","article-title":"Coping Styles and Self-Regulation Abilities as Predictors of Anxiety","volume":"12","author":"Kalamazh","year":"2024","journal-title":"Insight Psychol. Dimens. Soc."},{"key":"ref_46","first-page":"18","article-title":"Psychological Defenses of Students in Confronting the Stressors of Military Actions","volume":"13","author":"Plokhikh","year":"2025","journal-title":"Insight Psychol. Dimens. Soc."},{"key":"ref_47","first-page":"280","article-title":"Attributional Style as a Defense Mechanism of Student Activists\u2019 Behavior","volume":"13","author":"Bokhonkova","year":"2025","journal-title":"Insight Psychol. Dimens. Soc."},{"key":"ref_48","first-page":"44","article-title":"Coping Strategies in the Behavioral Models of Youth in Martial Law Conditions","volume":"12","author":"Halian","year":"2024","journal-title":"Insight Psychol. Dimens. Soc."},{"key":"ref_49","first-page":"519","article-title":"Psycho\u2013Emotional Stability of the Individual in the Period of Societal Transformations","volume":"13","author":"Raievska","year":"2025","journal-title":"Insight Psychol. Dimens. Soc."},{"key":"ref_50","first-page":"145","article-title":"Nature and Origin of Major Security Concerns and Potential Threats to the Shipping Industry","volume":"113","author":"Melnyk","year":"2021","journal-title":"Sci. J. Silesian Univ. Technol. Ser. Transp."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1023\/A:1012983028054","article-title":"Exact Inclusions of Gehring Classes in Muckenhoupt Classes","volume":"70","author":"Malaksiano","year":"2001","journal-title":"Math. Notes"},{"key":"ref_52","first-page":"353","article-title":"Modelling and Optimization of Perishable Cargo Delivery System through Odesa Port","volume":"177","author":"Lapkina","year":"2016","journal-title":"Actual Probl. Econ."},{"key":"ref_53","first-page":"104","article-title":"A Genetic Algorithm Improvement by Tour Constraint Violation Penalty Discount for Maritime Cargo Delivery","volume":"2023","author":"Romanuke","year":"2023","journal-title":"Syst. Res. Inf. Technol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10095020.2024.2338227","article-title":"Exploring the Nonlinear Impact of Visual Environment on Residents\u2019 Happiness: A Computational Framework Integrating Semantic and Geometric Features","volume":"27","author":"Wang","year":"2024","journal-title":"Geo-Spat. Inf. Sci."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"10328","DOI":"10.1109\/TGRS.2020.3046757","article-title":"Enhanced Multiscale Feature Fusion Network for HSI Classification","volume":"59","author":"Yang","year":"2021","journal-title":"IEEE Trans. Geosci. 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