{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T17:07:21Z","timestamp":1745428041643,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030821463"},{"type":"electronic","value":"9783030821470"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-82147-0_39","type":"book-chapter","created":{"date-parts":[[2021,8,6]],"date-time":"2021-08-06T23:26:36Z","timestamp":1628292396000},"page":"474-487","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Adaptive Entity Alignment for Cross-Lingual Knowledge Graph"],"prefix":"10.1007","author":[{"given":"Yuanming","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Tianyu","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Jiawei","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Zhenbo","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Gang","family":"Xiao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,7]]},"reference":[{"key":"39_CR1","doi-asserted-by":"crossref","unstructured":"Chen, M., Tian, Y., Yang, M., Zaniolo, C.: Multilingual knowledge graph embeddings for cross-lingual knowledge alignment. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence, pp. 1511\u20131517 (2017)","DOI":"10.24963\/ijcai.2017\/209"},{"key":"39_CR2","doi-asserted-by":"crossref","unstructured":"Zhu, H., Xie, R., Liu, Z., Sun, M.: Iterative entity alignment via joint knowledge embeddings. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence, pp. 4258\u20134264 (2017)","DOI":"10.24963\/ijcai.2017\/595"},{"key":"39_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"628","DOI":"10.1007\/978-3-319-68288-4_37","volume-title":"The Semantic Web \u2013 ISWC 2017","author":"Z Sun","year":"2017","unstructured":"Sun, Z., Hu, W., Li, C.: Cross-lingual entity alignment via joint attribute-preserving embedding. In: d\u2019Amato, C., et al. (eds.) ISWC 2017. LNCS, vol. 10587, pp. 628\u2013644. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68288-4_37"},{"key":"39_CR4","doi-asserted-by":"crossref","unstructured":"Sun, Z., Hu, W., Zhang, Q., Qu, Y.: Bootstrapping entity alignment with knowledge graph embedding. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence, pp. 4396\u20134402 (2018)","DOI":"10.24963\/ijcai.2018\/611"},{"key":"39_CR5","doi-asserted-by":"crossref","unstructured":"Wang, Z., Lv, Q., Lan, X., Zhang, Y.: Cross-lingual knowledge graph alignment via graph convolutional networks. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 349\u2013357 (2018)","DOI":"10.18653\/v1\/D18-1032"},{"key":"39_CR6","doi-asserted-by":"crossref","unstructured":"Wu, Y., Liu, X., Feng, Y., Wang, Z., Yan, R., Zhao, D.: Relation-aware entity alignment for heterogeneous knowledge graphs. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (2019)","DOI":"10.24963\/ijcai.2019\/733"},{"key":"39_CR7","doi-asserted-by":"crossref","unstructured":"Sun, Z., et al.: Knowledge graph alignment network with gated multi-hop neighborhood aggregation. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 222\u2013229 (2020)","DOI":"10.1609\/aaai.v34i01.5354"},{"key":"39_CR8","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, pp. 2787\u20132795 (2013)"},{"key":"39_CR9","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, pp. 1112\u20131119 (2014)","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"39_CR10","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 (2015)","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"39_CR11","unstructured":"Nickel, M., Tresp, V., Kriegel, H.-P.: A three-way model for collective learning on multi-relational data. In: Proceedings of the 28th International Conference on Machine Learning, pp. 809\u2013816 (2011)"},{"key":"39_CR12","unstructured":"Sun, Z., Deng, Z.-H., Nie, J.-Y., Tang, J.: Rotate: knowledge graph embedding by relational rotation in complex space. In: Proceedings of the 7th International Conference on Learning Representations (2019)"},{"key":"39_CR13","doi-asserted-by":"crossref","unstructured":"Cai, L., Wang, W.Y.: KBGAN: adversarial learning for knowledge graph embeddings. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics, pp. 1470\u20131480 (2018)","DOI":"10.18653\/v1\/N18-1133"},{"key":"39_CR14","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: Proceedings of the Advances in Neural Information Processing Systems, pp. 2672\u20132680 (2014)"},{"key":"39_CR15","doi-asserted-by":"crossref","unstructured":"Schlichtkrull, M., Kipf, T.N., Bloem, P., Van Den Berg, R., Titov, I., Welling, M.: Modeling relational data with graph convolutional networks. In: Proceedings of the European Semantic Web Conference, pp. 593\u2013607 (2018)","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"39_CR16","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. arXiv Preprint, arXiv:1609.02907 (2016)"},{"key":"39_CR17","doi-asserted-by":"crossref","unstructured":"Li, C., Cao, Y., Hou, L., Shi, J., Li, J., Chua, T.-S.: Semi-supervised entity alignment via joint knowledge embedding model and cross-graph model. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 2723\u20132732 (2019)","DOI":"10.18653\/v1\/D19-1274"},{"key":"39_CR18","doi-asserted-by":"crossref","unstructured":"Cao, Y., Liu, Z., Li, C., Li, J., Chua, T.-S.: Multi-channel graph neural network for entity alignment. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 1452\u20131461 (2019)","DOI":"10.18653\/v1\/P19-1140"},{"key":"39_CR19","doi-asserted-by":"crossref","unstructured":"Trisedya, B.D., Qi, J., Zhang, R.: Entity alignment between knowledge graphs using attribute embeddings. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 297\u2013304 (2019)","DOI":"10.1609\/aaai.v33i01.3301297"},{"key":"39_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Sun, Z., Hu, W., Chen, M., Guo, L., Qu, Y.: Multi-view knowledge graph embedding for entity alignment. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence, pp. 5429\u20135435 (2019)","DOI":"10.24963\/ijcai.2019\/754"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-82147-0_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T21:20:50Z","timestamp":1673040050000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-82147-0_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030821463","9783030821470"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-82147-0_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"7 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cloud-conf.net\/ksem21\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"492","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"164","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"10","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}