{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T08:10:08Z","timestamp":1743063008449,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819729654"},{"type":"electronic","value":"9789819729661"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-2966-1_11","type":"book-chapter","created":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T12:01:57Z","timestamp":1714392117000},"page":"132-151","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Construction of a Large-Scale Maritime Elements Semantic Schema Based on Heterogeneous Graph Models"],"prefix":"10.1007","author":[{"given":"Xiaotong","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Mei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,30]]},"reference":[{"key":"11_CR1","unstructured":"Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Advances in Neural Information Processing Systems, vol. 26 (2013)"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zhang, J., Feng, J., Chen, Z.: Knowledge graph embedding by translating on hyperplanes. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 28, no. 1 (2014)","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Lin, Y., Liu, Z., Sun, M., Liu, Y., Zhu, X.: Learning entity and relation embeddings for knowledge graph completion. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 29, no. 1 (2015)","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Ji, G., He, S., Xu, L., Liu, K., Zhao, J.: Knowledge graph embedding via dynamic mapping matrix. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 687\u2013696 (2015)","DOI":"10.3115\/v1\/P15-1067"},{"key":"11_CR5","unstructured":"Liu, H., Wu, Y., Yang, Y.: Analogical inference for multi-relational embeddings. In: International Conference on Machine Learning, pp. 2168\u20132178. PMLR (2017)"},{"key":"11_CR6","unstructured":"Trouillon, T., Welbl, J., Riedel, S., Gaussier, \u00c9., Bouchard, G.: Complex embeddings for simple link prediction. In: International Conference on Machine Learning, pp. 2071\u20132080. PMLR (2016)"},{"key":"11_CR7","unstructured":"Yang, B., Yih, W.T., He, X., Gao, J., Deng, L.: Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575 (2014)"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Li, J., Xiang, J., Cheng, J.: EARR: using rules to enhance the embedding of knowledge graph. Expert Syst. Appl. 120831 (2023)","DOI":"10.1016\/j.eswa.2023.120831"},{"key":"11_CR9","doi-asserted-by":"publisher","first-page":"121446","DOI":"10.1016\/j.eswa.2023.121446","volume":"237","author":"D Jiang","year":"2024","unstructured":"Jiang, D., Wang, R., Xue, L., Yang, J.: Multisource hierarchical neural network for knowledge graph embedding. Expert Syst. Appl. 237, 121446 (2024)","journal-title":"Expert Syst. Appl."},{"key":"11_CR10","doi-asserted-by":"publisher","first-page":"105908","DOI":"10.1016\/j.compbiomed.2022.105908","volume":"148","author":"L Chen","year":"2022","unstructured":"Chen, L., Liu, D., Yang, J., Jiang, M., Liu, S., Wang, Y.: Construction and application of COVID-19 infectors activity information knowledge graph. Comput. Biol. Med. 148, 105908 (2022)","journal-title":"Comput. Biol. Med."},{"key":"11_CR11","doi-asserted-by":"publisher","first-page":"106679","DOI":"10.1016\/j.ocecoaman.2023.106679","volume":"242","author":"C Liu","year":"2023","unstructured":"Liu, C., Zhang, X., Xu, Y., Xiang, B., Gan, L., Shu, Y.: Knowledge graph for maritime pollution regulations based on deep learning methods. Ocean Coast. Manag. 242, 106679 (2023)","journal-title":"Ocean Coast. Manag."},{"key":"11_CR12","doi-asserted-by":"publisher","first-page":"106660","DOI":"10.1016\/j.ocecoaman.2023.106660","volume":"240","author":"L Gan","year":"2023","unstructured":"Gan, L., Ye, B., Huang, Z., Xu, Y., Chen, Q., Shu, Y.: Knowledge graph construction based on ship collision accident reports to improve maritime traffic safety. Ocean Coast. Manag. 240, 106660 (2023)","journal-title":"Ocean Coast. Manag."},{"key":"11_CR13","doi-asserted-by":"publisher","first-page":"115695","DOI":"10.1016\/j.oceaneng.2023.115695","volume":"287","author":"S Wang","year":"2023","unstructured":"Wang, S., Li, Y., Zhang, Z., Xing, H.: Big data driven vessel trajectory prediction based on sparse multi-graph convolutional hybrid network with spatio-temporal awareness. Ocean Eng. 287, 115695 (2023)","journal-title":"Ocean Eng."},{"key":"11_CR14","doi-asserted-by":"publisher","first-page":"109154","DOI":"10.1016\/j.oceaneng.2021.109154","volume":"232","author":"J Ma","year":"2021","unstructured":"Ma, J., Jia, C., Shu, Y., Liu, K., Zhang, Y., Hu, Y.: Intent prediction of vessels in intersection waterway based on learning vessel motion patterns with early observations. Ocean Eng. 232, 109154 (2021)","journal-title":"Ocean Eng."},{"key":"11_CR15","doi-asserted-by":"publisher","first-page":"107871","DOI":"10.1016\/j.compeleceng.2022.107871","volume":"100","author":"J Escorcia-Gutierrez","year":"2022","unstructured":"Escorcia-Gutierrez, J., Gamarra, M., Bele\u00f1o, K., Soto, C., Mansour, R.F.: Intelligent deep learning-enabled autonomous small ship detection and classification model. Comput. Electr. Eng. 100, 107871 (2022)","journal-title":"Comput. Electr. Eng."},{"key":"11_CR16","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.patrec.2021.07.024","volume":"151","author":"M Liang","year":"2021","unstructured":"Liang, M., Zhan, Y., Liu, R.W.: MVFFNet: multi-view feature fusion network for imbalanced ship classification. Pattern Recogn. Lett. 151, 26\u201332 (2021)","journal-title":"Pattern Recogn. Lett."},{"key":"11_CR17","doi-asserted-by":"publisher","first-page":"115020","DOI":"10.1016\/j.oceaneng.2023.115020","volume":"282","author":"S Guo","year":"2023","unstructured":"Guo, S., Zhang, H., Guo, Y.: Toward multimodal vessel trajectory prediction by modeling the distribution of modes. Ocean Eng. 282, 115020 (2023)","journal-title":"Ocean Eng."},{"key":"11_CR18","doi-asserted-by":"publisher","first-page":"110799","DOI":"10.1016\/j.knosys.2023.110799","volume":"277","author":"Y Xiao","year":"2023","unstructured":"Xiao, Y., Li, X., Yin, J., Liang, W., Hu, Y.: Adaptive multi-source data fusion vessel trajectory prediction model for intelligent maritime traffic. Knowl.-Based Syst. 277, 110799 (2023)","journal-title":"Knowl.-Based Syst."},{"key":"11_CR19","unstructured":"Nickel, M., Tresp, V., Kriegel, H.P.: A three-way model for collective learning on multi-relational data. In: Proceedings of ICML (International Conference on Machine Learning), vol. 11, no. 10.5555, pp. 3104482\u20133104584 (2011)"},{"key":"11_CR20","first-page":"103153","volume":"116","author":"X Liu","year":"2023","unstructured":"Liu, X., et al.: Multi-source knowledge graph reasoning for ocean oil spill detection from satellite SAR images. Int. J. Appl. Earth Obs. Geoinf. 116, 103153 (2023)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"issue":"5","key":"11_CR21","doi-asserted-by":"publisher","first-page":"101535","DOI":"10.1016\/j.gsf.2023.101535","volume":"14","author":"H Wang","year":"2023","unstructured":"Wang, H., et al.: A knowledge graph for standard carbonate microfacies and its application in the automatical reconstruction of the relative sea-level curve. Geosci. Front. 14(5), 101535 (2023)","journal-title":"Geosci. Front."},{"key":"11_CR22","doi-asserted-by":"publisher","first-page":"103580","DOI":"10.1016\/j.scs.2021.103580","volume":"78","author":"U Ahmed","year":"2022","unstructured":"Ahmed, U., Srivastava, G., Djenouri, Y., Lin, J.C.W.: Knowledge graph-based trajectory outlier detection in sustainable smart cities. Sustain. Cities Soc. 78, 103580 (2022)","journal-title":"Sustain. Cities Soc."},{"key":"11_CR23","doi-asserted-by":"publisher","first-page":"122449","DOI":"10.1016\/j.eswa.2023.122449","volume":"239","author":"W Li","year":"2024","unstructured":"Li, W., et al.: Location and time embedded feature representation for spatiotemporal traffic prediction. Expert Syst. Appl. 239, 122449 (2024)","journal-title":"Expert Syst. Appl."}],"container-title":["Lecture Notes in Computer Science","Spatial Data and Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-2966-1_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T12:04:07Z","timestamp":1714392247000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-2966-1_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819729654","9789819729661"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-2966-1_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"30 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SpatialDI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Spatial Data and Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 April 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 April 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"spatialdi2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/spatialdi2024.github.io\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}