Efficient distributed association management method of data, model, and knowledge for digital twin railway

References

• Asfand-E-Yar, Muhammad, and Ramis Ali. 2020. “Semantic Integration of Heterogeneous Databases of Same Domain Using Ontology.” IEEE Access 8:77903–77919. https://doi.org/10.1109/ACCESS.2020.2988685.
   Web of Science ®Google Scholar
• Bakli, Mohamed, Mahmoud Sakr, and Taysir Hassan A. Soliman. 2019. “Hadooptrajectory: A Hadoop Spatiotemporal Data Processing Extension.” Journal of Geographical Systems 21:211–235. https://doi.org/10.1007/s10109-019-00292-4.
   Web of Science ®Google Scholar
• Bischof, Stefan, and Gottfried Schenner. October 24–28, 2021. “Rail Topology Ontology: A Rail Infrastructure Base Ontology.” In International Semantic Web Conference, Vol. 12922, 597–612. Springer. https://doi.org/10.1007/978-3-030-88361-4_35.
   Google Scholar
• Bloch, Tanya, and Rafael Sacks. 2020. “Clustering Information Types for Semantic Enrichment of Building Information Models to Support Automated Code Compliance Checking.” Journal of Computing in Civil Engineering 34 (6): 04020040. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000922.
   Web of Science ®Google Scholar
• Broo, Didem Gürdür, Miguel Bravo-Haro, and Jennifer Schooling. 2022. “Design and Implementation of a Smart Infrastructure Digital Twin.” Automation in Construction 136:104171. https://doi.org/10.1016/j.autcon.2022.104171.
   Web of Science ®Google Scholar
• Candel, Carlos J. Fernández, Diego Sevilla Ruiz, and Jesús J. Garíca-Molina. 2022. “A Unified Metamodel for Nosql and Relational Databases.” Information Systems 104:101898. https://doi.org/10.1016/j.is.2021.101898.
   Web of Science ®Google Scholar
• Chen, Min, Alexey Voinov, Daniel P. Ames, Albert J. Kettner, Jonathan L. Goodall, Anthony J. Jakeman, Michael C. Barton. 2020. “Position Paper: Open Web-Distributed Integrated Geographic Modelling and Simulation to Enable Broader Participation and Applications.” Earth-Science Reviews 207:103223. https://doi.org/10.1016/j.earscirev.2020.103223.
   Web of Science ®Google Scholar
• Deng, Shaojiang, Shuyuan Jia, and Jing Chen. 2019. “Exploring Spatial–Temporal Relations Via Deep Convolutional Neural Networks for Traffic Flow Prediction with Incomplete Data.” Applied Soft Computing 78:712–721. https://doi.org/10.1016/j.asoc.2018.09.040.
   Web of Science ®Google Scholar
• Ding, Linfang, Guohui Xiao, Diego Calvanese, and Liqiu Meng. 2020. “A Framework Uniting Ontology-Based Geodata Integration and Geovisual Analytics.” ISPRS International Journal of Geo-Information 9 (8): 474. https://doi.org/10.3390/ijgi9080474.
   Web of Science ®Google Scholar
• Ding, Yulin, Zhaowen Xu, Qing Zhu, Hankan Li, Yan Luo, Ying Bao, Lingjun Tang, and Sen Zeng. 2022. “Integrated Data-Model-Knowledge Representation for Natural Resource Entities.” International Journal of Digital Earth 15 (1): 653–678. https://doi.org/10.1080/17538947.2022.2047802.
   Web of Science ®Google Scholar
• Doubell, Gerhardus Christiaan, Karel Kruger, Anton Herman Basson, and Pieter Conradie. 2021, March. “The Potential for Digital Twin Applications in Railway Infrastructure Management.” In World Congress on Engineering Asset Management, 241–249. Campo Grande, Brazil: Springer. https://doi.org/10.1007/978-3-030-96794-9_22.
   Google Scholar
• Feng, Bin, Qing Zhu, Mingwei Liu, Yun Li, Junxiao Zhang, Xiao Fu, Yan Zhou, et al. 2018. “An Efficient Graph-Based Spatio-Temporal Indexing Method for Task-Oriented Multi-Modal Scene Data Organization.” ISPRS International Journal of Geo-Information 7 (9): 371. https://doi.org/10.3390/ijgi7090371.
   Web of Science ®Google Scholar
• Gao, Yan, Shuyue Qian, Zihan Li, Ping Wang, Feiyue Wang, and Qing He. July 15–August 15, 2021. “Digital Twin and its Application in Transportation Infrastructure.” In 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), 298–301. Beijing, China: IEEE. https://doi.org/10.1109/DTPI52967.2021.9540108.
   Google Scholar
• Gao, Fan, Peng Yue, Zhipeng Cao, Shuaifeng Zhao, Boyi Shangguan, Liangcun Jiang, Lei Hu, Zhe Fang, and Zheheng Liang. 2022. “A Multi-Source Spatio-Temporal Data Cube for Large-Scale Geospatial Analysis.” International Journal of Geographical Information Science 36 (9): 1853–1884. https://doi.org/10.1080/13658816.2022.2087222.
   Web of Science ®Google Scholar
• Grandjean, Martin. 2020, July. “A Conceptual Framework for the Analysis of Multilayer Networks in the Humanities.” In Digital Humanities 2020, Ottawa.
   Google Scholar
• Gross, Jonathan L, Jay Yellen, and Mark Anderson. 2018. Graph Theory and Its Applications. New York: Chapman and Hall/CRC. https://doi.org/10.1201/9780429425134.
   Google Scholar
• Harpham, Quillon K., Andrew Hughes, and R. V. Moore. 2019. “Introductory Overview: The Openmi 2.0 Standard for Integrating Numerical Models.” Environmental Modelling & Software 122:104549. https://doi.org/10.1016/j.envsoft.2019.104549.
   Web of Science ®Google Scholar
• He, Zhanjun, Min Deng, Jiannan Cai, Zhong Xie, Qingfeng Guan, and Chao Yang. 2020. “Mining Spatiotemporal Association Patterns From Complex Geographic Phenomena.” International Journal of Geographical Information Science 34 (6): 1162–1187. https://doi.org/10.1080/13658816.2019.1566549.
   Web of Science ®Google Scholar
• He, Yufeng, Yehua Sheng, Barbara Hofer, Yi Huang, and Jiarui Qin. 2022. “Processes and Events in the Centre: A Dynamic Data Model for Representing Spatial Change.” International Journal of Digital Earth 15 (1): 276–295. https://doi.org/10.1080/17538947.2021.2025275.
   Web of Science ®Google Scholar
• Ji, Shaoxiong, Shirui Pan, Erik Cambria, Pekka Marttinen, and S. Yu Philip. 2021. “A Survey on Knowledge Graphs: Representation, Acquisition, and Applications.” IEEE Transactions on Neural Networks and Learning Systems 33 (2): 494–514. https://doi.org/10.1109/TNNLS.2021.3070843.
   Web of Science ®Google Scholar
• Jitkajornwanich, Kulsawasd, Neelabh Pant, Mohammadhani Fouladgar, and Ramez Elmasri. 2020. “A Survey on Spatial, Temporal, and Spatio-Temporal Database Research and An Original Example of Relevant Applications Using Sql Ecosystem and Deep Learning.” Journal of Information and Telecommunication 4 (4): 524–559. https://doi.org/10.1080/24751839.2020.1774153.
   Google Scholar
• Jones, David, Chris Snider, Aydin Nassehi, Jason Yon, and Ben Hicks. 2020. “Characterising the Digital Twin: A Systematic Literature Review.” CIRP Journal of Manufacturing Science and Technology29:36–52. https://doi.org/10.1016/j.cirpj.2020.02.002.
   Web of Science ®Google Scholar
• Kampczyk, Arkadiusz. April 28, 2021. “Railway Special Grid in Near Field Communication Technology for Rail Transport Infrastructure.” In Challenges of Urban Mobility, Transport Companies and Systems: 2018 TranSopot Conference, 87–99. Springer. https://doi.org/10.1007/978-3-030-50010-8_8.
   Google Scholar
• Kampczyk, Arkadiusz, and Katarzyna Dybeł. 2021. “Integrating Surveying Railway Special Grid Pins with Terrestrial Laser Scanning Targets for Monitoring Rail Transport Infrastructure.” Measurement170:108729. https://doi.org/10.1016/j.measurement.2020.108729.
   Web of Science ®Google Scholar
• Kampczyk, Arkadiusz. May 19, 2019. “Irregularities in Level Crossings and Pedestrian Crossings.” In Challenges of Urban Mobility, Transport Companies and Systems: 2018 TranSopot Conference, 249–261. Taiwan: Springer. https://doi.org/10.1007/978-3-030-17743-0_21.
   Google Scholar
• Li, Wenwen, Michael Batty, and Michael F. Goodchild. 2020. “Real-Time GIS for Smart Cities” . https://doi.org/10.1080/13658816.2019.1673397.
   Google Scholar
• Li, Songnian, Suzana Dragicevic, Francesc Antón Castro, Monika Sester, Stephan Winter, Arzu Coltekin, Christopher Pettit. 2016. “Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges.” ISPRS Journal of Photogrammetry and Remote Sensing 115:119–133. https://doi.org/10.1016/j.isprsjprs.2015.10.012.
   Web of Science ®Google Scholar
• Li, Jianbin, Liujie Jing, Xiaofeng Zheng, Pengyu Li, and Chen Yang. 2019. “Application and Outlook of Information and Intelligence Technology for Safe and Efficient TBM Construction.” Tunnelling and Underground Space Technology 93:103097. https://doi.org/10.1016/j.tust.2019.103097.
   Web of Science ®Google Scholar
• Li, Wenwen, Sizhe Wang, Sheng Wu, Zhining Gu, and Yuanyuan Tian. 2022. “Performance Benchmark on Semantic Web Repositories for Spatially Explicit Knowledge Graph Applications.” Computers, Environment and Urban Systems 98:101884. https://doi.org/10.1016/j.compenvurbsys.2022.101884.
   Web of Science ®Google Scholar
• Li, Heng, Chunxiao Zhang, Ziwei Xiao, Min Chen, Dequan Lu, and Shuhui Liu. 2021. “A Web-Based Geo-Simulation Approach Integrating Knowledge Graph and Model-Services.” Environmental Modelling & Software 144:105160. https://doi.org/10.1016/j.envsoft.2021.105160.
   Web of Science ®Google Scholar
• Li, Hankan, Qing Zhu, Liguo Zhang, Yulin Ding, Yongxin Guo, Haoyu Wu, Qiang Wang, et al. 2022. “Integrated Representation of Geospatial Data, Model, and Knowledge for Digital Twin Railway.” International Journal of Digital Earth 15 (1): 1657–1675. https://doi.org/10.1080/17538947.2022.2127949.
   Web of Science ®Google Scholar
• Lin, Ming, Ping Zhou, Yifan Jiang, Feicong Zhou, Jiayong Lin, and Zhijie Wang. 2022. “Numerical Investigation on Comprehensive Control System of Cooling and Heat Insulation for High Geothermal Tunnel: A Case Study on the Highway Tunnel with the Highest Temperature in China.” International Journal of Thermal Sciences 173:107385. https://doi.org/10.1016/j.ijthermalsci.2021.107385.
   Web of Science ®Google Scholar
• Lü, Guonian, Michael Batty, Josef Strobl, Hui Lin, A-Xing Zhu, and Min Chen. 2019. “Reflections and Speculations on the Progress in Geographic Information Systems (GIS): A Geographic Perspective.” International Journal of Geographical Information Science 33 (2): 346–367. https://doi.org/10.1080/13658816.2018.1533136.
   Web of Science ®Google Scholar
• Lu, Jiaheng, and Irena Holubová. 2019. “Multi-Model Databases: A New Journey to Handle the Variety of Data.” ACM Computing Surveys (CSUR) 52 (3): 1–38. https://doi.org/10.1145/3323214.
   Web of Science ®Google Scholar
• Lu, Chunfang, Junfei Liu, Yanhong Liu, and Yuming Liu. 2019. “Intelligent Construction Technology of Railway Engineering in China.” Frontiers of Engineering Management 6 (4): 503–516. https://doi.org/10.1007/s42524-019-0073-9.
   Web of Science ®Google Scholar
• Ma, Zongmin, Luyi Bai, and Li Yan. 2020. “Spatiotemporal Data and Spatiotemporal Data Models.” In Modeling Fuzzy Spatiotemporal Data with XML, 1–18. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-41999-8_1.
   Google Scholar
• Madhavi, Pappula, and K. P. Supreethi. July 21–22, 2023. “Multi-Dimensional Staqr Indexing Algorithm for Drone Applications.” In International Conference on Multi-disciplinary Trends in Artificial Intelligence, Vol. 14078, 611–619. Hyderabad, India. https://doi.org/10.1007/978-3-031-36402-0_57.
   Google Scholar
• Mahmood, Ahmed R., Sri Punni, and Walid G. Aref. 2019. “Spatio-Temporal Access Methods: A Survey (2010–2017).” GeoInformatica 23:1–36. https://doi.org/10.1007/s10707-018-0329-2.
   Web of Science ®Google Scholar
• Makris, Antonios, Konstantinos Tserpes, Dimosthenis Anagnostopoulos, Mara Nikolaidou, and Jose Antônio Fernandes de Macedo. 2019, June. “Database System Comparison Based on Spatiotemporal Functionality.” In Proceedings of the 23rd International Database Applications & Engineering Symposium, 1–7. Athens Greece. https://doi.org/10.1145/3331076.3331101.
   Google Scholar
• McMahon, Paul, Tieling Zhang, and Richard Dwight. 2020. “Requirements for Big Data Adoption for Railway Asset Management.” IEEE Access 8:15543–15564. https://doi.org/10.1109/ACCESS.2020.2967436.
   Web of Science ®Google Scholar
• Memarzia, Puya, Maria Patrou, Md Mahbub Alam, Suprio Ray, Virendra C. Bhavsar, and Kenneth B. Kent. June 10–13, 2019. “Toward Efficient Processing of Spatio-Temporal Workloads in a Distributed In-Memory System.” In 2019 20th IEEE International Conference on Mobile Data Management (MDM), 118–127. Hong Kong: IEEE. https://doi.org/10.1109/MDM.2019.00-66.
   Google Scholar
• Ning, Xinwen, Qing Zhu, Heng Zhang, Changjin Wang, Zujie Han, Junxiao Zhang, and Wen Zhao. 2020. “Dynamic Simulation Method of High-Speed Railway Engineering Construction Processes Based on Virtual Geographic Environment.” ISPRS International Journal of Geo-Information 9 (5): 292. https://doi.org/10.3390/ijgi9050292.
   Web of Science ®Google Scholar
• Pai, Kung-Jui, Shyue-Ming Tang, Jou-Ming Chang, and Jinn-Shyong Yang. December 12–14, 2013. “Completely Independent Spanning Trees on Complete Graphs, Complete Bipartite Graphs and Complete Tripartite Graphs.” In Advances in Intelligent Systems and Applications-Volume 1: Proceedings of the International Computer Symposium ICS 2012 Held at Hualien, Vol. 20, 107–113. Taiwan: Springer. https://doi.org/10.1007/978-3-642-35452-6_13.
   Google Scholar
• Park, Seula, and Tao Cheng. 2023. “Framework for Constructing Multimodal Transport Networks and Routing Using a Graph Database: A Case Study in London.” Transactions in GIS 27 (5): 1391–1417. https://doi.org/10.1111/tgis.13071.
   Web of Science ®Google Scholar
• Profillidis, Vassilios. 2016. Railway Management and Engineering. London: Routledge. https://doi.org/10.4324/9781315245362.
   Google Scholar
• Qiao, Xiaohui, Zhiyu Li, Fengyuan Zhang, Daniel P. Ames, Min Chen, E. James Nelson, and Rohit Khattar. 2021. “A Container-Based Approach for Sharing Environmental Models as Web Services.” International Journal of Digital Earth 14 (8): 1067–1086. https://doi.org/10.1080/17538947.2021.1925758.
   Web of Science ®Google Scholar
• Ravat, Franck, Jiefu Song, Olivier Teste, and Cassia Trojahn. 2020. “Efficient Querying of Multidimensional Rdf Data with Aggregates: Comparing Nosql, RDF and Relational Data Stores.” International Journal of Information Management 54:102089. https://doi.org/10.1016/j.ijinfomgt.2020.102089.
   Web of Science ®Google Scholar
• Sahal, Radhya, John G. Breslin, and Muhammad Intizar Ali. 2020. “Big Data and Stream Processing Platforms for Industry 4.0 Requirements Mapping for a Predictive Maintenance Use Case.” Journal of Manufacturing Systems 54:138–151. https://doi.org/10.1016/j.jmsy.2019.11.004.
   Web of Science ®Google Scholar
• Sarkar, Debasis, Harsh Patel, and Bhargav Dave. 2022. “Development of Integrated Cloud-Based Internet of Things (IOT) Platform for Asset Management of Elevated Metro Rail Projects.” International Journal of Construction Management 22 (10): 1993–2002. https://doi.org/10.1080/15623599.2020.1762035.
   Web of Science ®Google Scholar
• Semeraro, Concetta, Mario Lezoche, Hervé Panetto, and Michele Dassisti. 2021. “Digital Twin Paradigm: A Systematic Literature Review.” Computers in Industry 130:103469. https://doi.org/10.1016/j.compind.2021.103469.
   Web of Science ®Google Scholar
• Shaikh, Salman Ahmed, Komal Mariam, Hiroyuki Kitagawa, and Kyoung-Sook Kim. October 19–23, 2020. “Geoflink: A Distributed and Scalable Framework for the Real-Time Processing of Spatial Streams.” In Proceedings of the 29th ACM International Conference on Information & Knowledge Management. 3149–3156, Ireland. https://doi.org/10.1145/3340531.3412761.
   Google Scholar
• Sim, Hyogi, Awais Khan, Sudharshan S. Vazhkudai, Seung-Hwan Lim, Ali R. Butt, and Youngjae Kim. 2020. “An Integrated Indexing and Search Service for Distributed File Systems.” IEEE Transactions on Parallel and Distributed Systems 31 (10): 2375–2391. https://doi.org/10.1109/TPDS.2020.2990656.
   Web of Science ®Google Scholar
• Suleykin, Alexander, Peter Panfilov, and Natalya Bakhtadze. 2019, December. “Industrial Track: Architecting Railway KPIS Data Processing with Big Data Technologies.” In 2019 IEEE International Conference on Big Data (Big Data), 2047–2056. CA, USA: IEEE. https://doi.org/10.1109/BigData47090.2019.9006196.
   Google Scholar
• Tian, Ruijie, Huawei Zhai, Weishi Zhang, Fei Wang, and Yao Guan. 2022. “A Survey of Spatio-Temporal Big Data Indexing Methods in Distributed Environment.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15:4132–4155. https://doi.org/10.1109/JSTARS.2022.3175657.
   Web of Science ®Google Scholar
• Wu, Haoyu, Qing Zhu, Yongxin Guo, Weipeng Zheng, Liguo Zhang, Qiang Wang, Zhou, Runfang. 2022. “Multi-Level Voxel Representations for Digital Twin Models of Tunnel Geological Environment.” International Journal of Applied Earth Observation and Geoinformation 112:102887. https://doi.org/10.1016/j.jag.2022.102887.
   Web of Science ®Google Scholar
• Yang, Chaowei, Keith Clarke, Shashi Shekhar, and C. Vincent Tao. 2020. “Big Spatiotemporal Data Analytics: A Research and Innovation Frontier.” https://doi.org/10.1080/13658816.2019.1698743.
   Google Scholar
• Zhang, Fengyuan, Min Chen, Albert J. Kettner, Daniel P. Ames, Quillon Harpham, Songshan Yue, Yongning Wen, and Guonian Lü. 2021. “Interoperability Engine Design for Model Sharing and Reuse Among Openmi, Bmi and Opengms-Is Model Standards.” Environmental Modelling & Software144:105164. https://doi.org/10.1016/j.envsoft.2021.105164.
   Web of Science ®Google Scholar
• Zhang, Zhaohui, and Fei Li. 2020, April. “Research on the Construction of Big Data Management Platform of Shuohuang Railway Locomotive Operation and Maintenance.” In Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019: Rail Transportation System Safety and Maintenance Technologies, Vol. 639, 43–55. Singapore: Springer. https://doi.org/10.1007/978-981-15-2866-8_5.
   Google Scholar
• Zhang, Chengyuan, Lei Zhu, Jun Long, Shuangqiao Lin, Zhan Yang, and Wenti Huang. 2018, June. “A Hybrid Index Model for Efficient Spatio-Temporal Search in Hbase.” In Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers 22, Vol. 11154, 108–120. Australia: Springer https://doi.org/10.1007/978-3-030-04503-6_9.
   Google Scholar
• Zhu, Yunqiang, A-Xing Zhu, Jia Song, Jie Yang, Min Feng, Kai Sun, Jingqu Zhang, Zhiwei Hou, and Hongwei Zhao. 2017. “Multidimensional and Quantitative Interlinking Approach for Linked Geospatial Data.” International Journal of Digital Earth 10 (9): 923–943. https://doi.org/10.1080/17538947.2016.1266041.
   Web of Science ®Google Scholar