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Articles

The construction of personalized virtual landslide disaster environments based on knowledge graphs and deep neural networks

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Pages 1637-1655 | Received 27 Feb 2020, Accepted 20 May 2020, Published online: 04 Jun 2020

References

  • Ahmad, A., R. Othman, M. Fauzan, and Q. M. Ilyas. 2019. “A Semantic Ontology for Disaster Trail Management System.” International Journal of Advanced Computer Science and Applications 10 (10): 77–90.
  • Bainbridge, W. S. 2007. “The Scientific Research Potential of Virtual Worlds.” Science 317 (5837): 472–476.
  • Bian, M. S., and M. Han. 2015. “The Research on 3D Visualization System of Dam-Break Flood Routing Based on Google Earth.” 36th IAHR World Congress: Deltas of the Future and What Happens Upstream, 4869–4876. Delft, Netherlands.
  • Chang, A. X., M. Savva, and C. D. Manning. 2014. “Learning Spatial Knowledge for Text to 3D Scene Generation.” 2014 Conference on Empirical Methods in Natural Language Processing, 2028–2038. Doha, Qatar.
  • Chang, L., W. T. Zhang, T. L. Gu, W. P. Sun, and C. Z. Bin. 2019. “Review of Recommendation Systems Based on Knowledge Graph.” CAAI Transactions on Intelligent Systems 14 (2): 207–216.
  • Chen, W. J., B. He, L. Zhang, and D. Nover. 2016. “Developing an Integrated 2D and 3D WebGIS-Based Platform for Effective Landslide Hazard Management.” International Journal of Disaster Risk Reduction 20: 26–38.
  • Chen, M., and H. Lin. 2018. “Virtual Geographic Environments (VGEs): Originating from or Beyond Virtual Reality (VR)?” International Journal of Digital Earth 11 (4): 329–333.
  • Chen, M., H. Lin, M. Y. Hu, L. He, and C. X. Zhang. 2013. “Real Geograhic Scenario Based Virtual Social Environment: Integrate Geograpy with Social Research.” Environment and Planning B-Planning & Design 40 (6): 1103–1131.
  • Chen, M., H. Lin, O. Kolditz, and C. Chen. 2015. “Developing Dynamic Virtual Geographic Environments (VGEs) for Geographic Research.” Environmental Earth Sciences 74: 6975–6980.
  • Chen, X. S., C. C. Liu, and I. C. Wu. 2018. “A BIM-Based Visualization and Warning System for Fire Rescue.” Advanced Engineering Informatics 37: 42–53.
  • Covington, P., J. Adams, and E. Sargin. 2016. “Deep Neural Networks for YouTube Recommendations.” 10th ACM Conference on Recommender Systems, 191–198. Boston, USA.
  • Coyne, B., A. Klapheke, M. Rouhizadeh, R. Sproat, and D. Bauer. 2012. “Annotation Tools and Knowledge Representation for a Text-to-Scene System.” 24th International Conference on Computational Linguistics, 679–694. Mumbai, India.
  • Cui, P. 2014. “Progress and Prospects in Research on Mountain Hazards in China.” Progress in Geography 33: 145–152.
  • Denolle, M. A., E. M. Dunham, G. A. Prieto, and G. C. Beroz. 2014. “Strong Ground Motion Prediction Using Virtual Earthquakes.” Science 343 (6169): 399–403.
  • Ding, Y. L., Q. Zhu, and H. Lin. 2014. “An Integrated Virtual Geographic Environmental Simulation Framework: A Case Study of Flood Disaster Simulation.” Geo-spatial Information Science 17 (4): 190–200.
  • Dransch, D., H. Rotzoll, and K. Poser. 2010. “The Contribution of Maps to the Challenges of Risk Communication to the Public.” International Journal of Digital Earth 3 (3): 292–311.
  • Evans, S. Y., M. Todd, I. Baines, T. Hunt, and G. Morrison. 2014. “Communicating Flood Risk Through Three-Dimensional Visualization.” Proceedings of the Institution of Civil Engineers 167 (5): 48–55.
  • Fan, X. T., X. P. Du, J. Tan, and J. J. Zhu. 2009. “Three-dimensional Visualization Simulation Assessment System Based on Multi-Source Data Fusion for the Wenchuan Earthquake.” Journal of Applied Remote Sensing 3 (1): 031640.
  • Fan, W. C., W. G. Weng, G. Wu, Q. F. Meng, and L. X. Yang. 2015. “Basic Scientific Problems of National Security Management.” Bulletin of National Natural Science Foundation of China 29 (6): 436–443.
  • Fan, Y. D., W. Wu, W. Wang, M. Liu, and Q. Wen. 2016. “Research Progress of Disaster Remote Sensing in China.” Journal of Remote Sensing 20 (5): 1170–1184.
  • Gariano, S. L., and F. Guzzetti. 2016. “Landslides in a Changing Climate.” Earth Science Reviews 162: 227–252.
  • Grolinger, K., M. A. M. Capretz, E. Mezghani, and E. Exposito. 2013. “Knowledge as a Service Framework for Disaster Data Management.” 22nd IEEE International WETICE Conference, 313–318. Hammamet, Tunisia.
  • Hu, Y., J. Zhu, W. L. Li, Y. H. Zhang, Q. Zhu, H. Qi, H. X. Zhang, Z. Y. Cao, W. J. Yang, and P. C. Zhang. 2018. “Construction and Optimization of Three-Dimensional Disaster Scenes Within Mobile Virtual Reality.” ISPRS International Journal of Geo-Information 7 (6): 215.
  • Imran, M., C. Castillo, J. Lucas, P. Meier, and S. Vieweg. 2014. “AIDR: Artificial Intelligence for Disaster Response.” 23rd International Conference on World Wide Web, 159–162. Seoul, South Korea.
  • Jia, Z. H., T. L. Gu, C. Z. Bin, L. Chang, W. T. Zhang, and G. M. Zhu. 2019. “Tourism Knowledge-Graph Feature Learning for Attraction Recommendations.” CAAI Transactions on Intelligent Systems 14 (3): 430–437.
  • Jiang, B. C., G. Wan, J. Jian, F. Li, and H. Q. Wen. 2018. “Geographic Knowledge Graph Building Extracted from Multi-Sourced Heterogeneous Data.” Acta Geodetica et Cartographica Sinica 47 (8): 1051–1061.
  • Li, Y., J. H. Gong, J. Zhu, Y. Q. Song, Y. Hu, and L. Ye. 2013. “Spatiotemporal Simulation and Risk Analysis of Dam-Break Flooding Based on Cellular Automata.” International Journal of Geographical Information Science 27 (10): 2043–2059.
  • Li, J. W., X. W. Li, C. C. Chen, H. R. Zheng, and N. Y. Liu. 2018. “Three-Dimensional Dynamic Simulation System for Forest Surface Fire Spreading Prediction.” International Journal of Pattern Recognition and Artificial Intelligence 32 (8): 1850026.1–1850026.23.
  • Li, B. R., J. P. Wu, M. Pan, and J. Huang. 2015. “Application of 3D WebGIS and Real-Time Technique in Earthquake Information Publishing and Visualization.” Earthquake Science 28 (3): 223–231.
  • Li, W. L., J. Zhu, Y. H. Zhang, Y. G. Cao, Y. Hu, L. Fu, P. C. Huang, Y. K. Xie, L. Z. Yin, and B. L. Xu. 2019. “A Fusion Visualization Method for Disaster Information Based on Self-Explanatory Symbols and Photorealistic Scene Cooperation.” International Journal of Geo-Information 8 (3): 104.
  • Liang, Y., F. Xu, S. H. Zhang, Y. K. Lai, and T. J. Mu. 2018. “Knowledge Graph Construction with Structure and Parameter Learning for Indoor Scene Design.” Computational Visual Media 4 (2): 123–137.
  • Lin, H., M. Batty, S. E. Jorgensen, B. J. Fu, M. Konecny, A. Voinow, P. Torrens, et al. 2015a. “Virtual Environments Begin to Embrace Process-Based Geographic Analysis.” Transactions in GIS 19 (4): 493–498.
  • Lin, H., M. Chen, and G. N. Lu. 2013. “Virtual Geographic Environment: A Workspace for Computer-Aided Geographic Experiments.” Annals of the Association of American Geographers 103 (3): 465–482.
  • Lin, H., M. Chen, G. N. Lu, Q. Zhu, J. H. Gong, X. You, Y. N. Wen, B. L. Xu, and M. Y. Hu. 2013. “Virtual Geographic Environments (VGEs): A New Generation of Geographic Analysis Tool.” Earth-Science Reviews 126: 74–84.
  • Lin, Y. K., Z. Y. Liu, M. S. Sun, Y. Liu, and X. Zhu. 2015b. “Learning Entity and Relation Embeddings for Knowledge Graph Completion.” 29th Association-for-the-Advancement-of-Artificial-Intelligence (AAAI) Conference on Artificial Intelligence, 2181–2187. Austin, USA.
  • Lin, H., C. X. Zhang, M. Chen, and X. Q. Zheng. 2016. “On Virtual Geographic Environments for Geographic Knowledge Representation and Sharing.” Journal of Remote Sensing 20 (5): 1290–1298.
  • Liu, Q., Y. Li, H. Duan, Y. Liu, and Z. G. Qin. 2016. “Knowledge Graph Construction Techniques.” Journal of Computer Research and Development 53 (3): 582–600.
  • Liu, M. W., J. Zhu, Q. Zhu, H. Qi, L. Z. Yin, X. Zhang, B. Feng, H. G. He, W. J. Yang, and L. Y. Chen. 2017. “Optimization of Simulation and Visualization Analysis of Dam-Failure Flood Disaster for Diverse Computing Systems.” International Journal of Geographical Information Science 31 (9): 1891–1906.
  • Lü, G. N., M. Chen, L. W. Yuan, L. C. Zhou, Y. N. Wen, M. G. Wu, B. Hu, Z. Y. Yu, S. S. Yue, and Y. H. Sheng. 2018. “Geographic Scenario: A Possible Foundation for Further Development of Virtual Geographic Environments.” International Journal of Digital Earth 11 (4): 356–368.
  • Lu, F., L. Yu, and P. Y. Qiu. 2017. “On Geographic Knowledge Graph.” Journal of Geo-Information Science 19 (6): 723–734.
  • Ma, L. L., H. W. Li, S. W. Lian, R. P. Liang, and J. Gong. 2016. “A Method of Modeling Natural Disaster Event Domain Ontology.” Geography and Geo-Information Science 32 (1): 12–17.
  • Peng, G. Q., Y. N. Wen, Y. T. Li, S. S. Yue, and Z. Y. Song. 2018. “Construction of Collaborative Mapping Engine for Dynamic Disaster and Emergency Response.” Natural Hazards 90 (1): 217–236.
  • Purohit, H., R. Kanagasabai, and N. Deshpande. 2019. “Towards Next Generation Knowledge Graphs for Disaster Management.” 13th IEEE International Conference on Semantic Computing, 474–477. Newport Beach, USA.
  • Segoni, S., L. Piciullo, and S. L. Gariano. 2018. “A Review of the Recent Literature on Rainfall Thresholds for Landslide Occurrence.” Landslides 15 (8): 1483–1501.
  • Sheridan, M. F., C. L. Bloebaum, T. Kesavadas, A. K. Patra, and E. Winer. 2002. “Visualization and Communication in Risk Management of Landslides.” 3rd International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation, 691–701. Sintra, Portugal.
  • Steichen, B., M. M. A. Wu, D. Tolker, C. Conati, and G. Carenini. 2014. “Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations.” 22nd International Conference on User Modeling, Adaptation, and Personalization, 183–194. Aalborg, Denmark.
  • Wang, B. K., L. Wu, X. F. Hu, and X. Y. He. 2019. “Knowledge Representation Method of Joint Operation Situation Based on Knowledge Graph.” Journal of System Simulation 31 (11): 2228–2237.
  • Wang, Z., J. W. Zhang, J. L. Feng, and Z. Chen. 2014. “Knowledge Graph Embedding by Translating on Hyperplanes.” 28th Association-for-the-Advancement-of-Artificial-Intelligence (AAAI) Conference on Artificial Intelligence 1112-1119. Quebec City, Canada.
  • Wang, H. W., F. Z. Zhang, J. L. Wang, M. Zhao, W. J. Li, X. Xie, and M. Y. Guo. 2018a. “RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems.” 27th ACM International Conference on Information and Knowledge Management, 417–426. Torino, Italy.
  • Wang, H. W., F. Z. Zhang, X. Xie, and M. Y. Guo. 2018b. “DKN: Deep Knowledge-Aware Network for News Recommendation.” 27th World Wide Web (WWW) Conference, 1835–1844. Lyon, France.
  • Xu, J., T. Pei, and Y. H. Yao. 2010. “Conceptual Framework and Representation of Geographic Knowledge Map.” Journal of Geo-Information Science 12 (4): 496–502, 509.
  • Yin, L. Z., J. Zhu, X. Zhang, Y. Li, J. H. Wang, H. Zhang, and X. F. Yang. 2015. “Visual Analysis and Simulation of Dam-Break Flood Spatiotemporal Process in a Network Environment.” Environmental Earth Sciences 74 (10): 7133–7146.
  • Zhang, Y. H., J. Zhu, W. L. Li, Q. Zhu, Y. Hu, L. Fu, J. X. Zhang, P. C. Huang, Y. K. Xie, and L. Z. Yin. 2019. “Adaptive Construction of the Virtual Debris Flow Disaster Environments Driven by Multilevel Visualization Task.” ISPRS International Journal of Geo-Information 8 (5): 209.
  • Zhu, J., L. Z. Yin, J. H. Wang, H. Zhang, Y. Hu, and Z. J. Liu. 2015. “Dam-Break Flood Routing Simulation and Scale Effect Analysis Based on Virtual Geographic Environment.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (1): 105–113.

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