{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T10:18:30Z","timestamp":1770459510577,"version":"3.49.0"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030731960","type":"print"},{"value":"9783030731977","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/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":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-73197-7_35","type":"book-chapter","created":{"date-parts":[[2021,4,6]],"date-time":"2021-04-06T19:03:01Z","timestamp":1617735781000},"page":"533-548","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Attention-Based Multimodal Entity Linking with High-Quality Images"],"prefix":"10.1007","author":[{"given":"Li","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Zhixu","family":"Li","sequence":"additional","affiliation":[]},{"given":"Qiang","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,4,6]]},"reference":[{"key":"35_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/978-3-030-45439-5_31","volume-title":"Advances in Information Retrieval","author":"O Adjali","year":"2020","unstructured":"Adjali, O., Besan\u00e7on, R., Ferret, O., Le Borgne, H., Grau, B.: Multimodal entity linking for Tweets. In: Jose, J.M., et al. (eds.) ECIR 2020, Part I. LNCS, vol. 12035, pp. 463\u2013478. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-45439-5_31"},{"key":"35_CR2","unstructured":"Cheng, J., et al.: Entity linking for Chinese short texts based on BERT and entity name embeddings. In: China Conference on Knowledge Graph and Semantic Computing (CCKS) (2019). https:\/\/conference.bj.bcebos.com\/ccks2019\/eval\/webpage\/pdfs\/eval_paper_2_1.pdf"},{"key":"35_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1007\/978-3-319-56608-5_7","volume-title":"Advances in Information Retrieval","author":"W-H Chong","year":"2017","unstructured":"Chong, W.-H., Lim, E.-P., Cohen, W.: Collective entity linking in Tweets over space and time. In: Jose, J.M., Hauff, C., Alt\u0131ngovde, I.S., Song, D., Albakour, D., Watt, S., Tait, J. (eds.) ECIR 2017. LNCS, vol. 10193, pp. 82\u201394. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-56608-5_7"},{"issue":"5","key":"35_CR4","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/MIS.2008.86","volume":"23","author":"A Csomai","year":"2008","unstructured":"Csomai, A., Mihalcea, R.: Linking documents to encyclopedic knowledge. IEEE Intell. Syst. 23(5), 34\u201341 (2008)","journal-title":"IEEE Intell. Syst."},{"key":"35_CR5","unstructured":"Cucerzan, S.: Large-scale named entity disambiguation based on Wikipedia data. In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp. 708\u2013716 (2007)"},{"key":"35_CR6","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"35_CR7","doi-asserted-by":"crossref","unstructured":"Dredze, M., Andrews, N., Deyoung, J.: Twitter at the Grammys: a social media corpus for entity linking and disambiguation. In: International Workshop on Natural Language Processing for Social Media (2016)","DOI":"10.18653\/v1\/W16-6204"},{"key":"35_CR8","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1162\/tacl_a_00181","volume":"2","author":"Y Fang","year":"2014","unstructured":"Fang, Y., Chang, M.W.: Entity linking on microblogs with spatial and temporal signals. Trans. Assoc. Comput. Linguist. 2, 259\u2013272 (2014)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"35_CR9","doi-asserted-by":"crossref","unstructured":"Hua, W., Zheng, K., Zhou, X.: Microblog entity linking with social temporal context, pp. 1761\u20131775 (2015)","DOI":"10.1145\/2723372.2751522"},{"key":"35_CR10","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.procs.2017.06.007","volume":"111","author":"D Huang","year":"2017","unstructured":"Huang, D., Wang, J.: An approach on Chinese microblog entity linking combining Baidu Encyclopaedia and word2vec. Procedia Comput. Sci. 111, 37\u201345 (2017)","journal-title":"Procedia Comput. Sci."},{"key":"35_CR11","unstructured":"Liu, X., Li, Y., Wu, H., Ming, Z., Yi, L.: Entity linking for Tweets. In: Meeting of the Association for Computational Linguistics (2017)"},{"key":"35_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/978-3-030-21348-0_30","volume-title":"The Semantic Web","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Li, H., Garcia-Duran, A., Niepert, M., Onoro-Rubio, D., Rosenblum, D.S.: MMKG: multi-modal knowledge graphs. In: Hitzler, P., Hitzler, P., et al. (eds.) ESWC 2019. LNCS, vol. 11503, pp. 459\u2013474. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-21348-0_30"},{"key":"35_CR13","doi-asserted-by":"crossref","unstructured":"Ma, C., Sha, Y., Tan, J., Guo, L., Peng, H.: Chinese social media entity linking based on effective context with topic semantics. In: 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), vol. 1, pp. 386\u2013395. IEEE (2019)","DOI":"10.1109\/COMPSAC.2019.00063"},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"Mihalcea, R., Csomai, A.: Wikify! linking documents to encyclopedic knowledge. In: Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management, pp. 233\u2013242 (2007)","DOI":"10.1145\/1321440.1321475"},{"key":"35_CR15","doi-asserted-by":"crossref","unstructured":"Moon, S., Neves, L., Carvalho, V.: Multimodal named entity disambiguation for noisy social media posts. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2000\u20132008 (2018)","DOI":"10.18653\/v1\/P18-1186"},{"key":"35_CR16","doi-asserted-by":"crossref","unstructured":"Mousselly-Sergieh, H., Botschen, T., Gurevych, I., Roth, S.: A multimodal translation-based approach for knowledge graph representation learning. In: Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, pp. 225\u2013234 (2018)","DOI":"10.18653\/v1\/S18-2027"},{"key":"35_CR17","unstructured":"Nguyen, T.H., Fauceglia, N.R., Muro, M.R., Hassanzadeh, O., Gliozzo, A., Sadoghi, M.: Joint learning of local and global features for entity linking via neural networks. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pp. 2310\u20132320 (2016)"},{"key":"35_CR18","doi-asserted-by":"crossref","unstructured":"Pezeshkpour, P., Chen, L., Singh, S.: Embedding multimodal relational data for knowledge base completion. arXiv preprint arXiv:1809.01341 (2018)","DOI":"10.18653\/v1\/D18-1359"},{"issue":"2","key":"35_CR19","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1109\/TKDE.2014.2327028","volume":"27","author":"W Shen","year":"2014","unstructured":"Shen, W., Wang, J., Han, J.: Entity linking with a knowledge base: issues, techniques, and solutions. IEEE Trans. Knowl. Data Eng. 27(2), 443\u2013460 (2014)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"35_CR20","doi-asserted-by":"crossref","unstructured":"Shen, W., Wang, J., Luo, P., Wang, M.: Linking named entities in tweets with knowledge base via user interest modeling. In: ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (2013)","DOI":"10.1145\/2487575.2487686"},{"key":"35_CR21","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"35_CR22","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818\u20132826 (2016)","DOI":"10.1109\/CVPR.2016.308"},{"key":"35_CR23","doi-asserted-by":"crossref","unstructured":"Tao, Z., Wei, Y., Wang, X., He, X., Huang, X., Chua, T.S.: MGAT: multimodal graph attention network for recommendation. Inf. Process. Manage. 57(5), 102277 (2020)","DOI":"10.1016\/j.ipm.2020.102277"},{"key":"35_CR24","doi-asserted-by":"crossref","unstructured":"Yang, Z., Zheng, B., Li, G., Zhao, X., Zhou, X., Jensen, C.S.: Adaptive top-k overlap set similarity joins. In: 2020 IEEE 36th International Conference on Data Engineering (ICDE), pp. 1081\u20131092. IEEE (2020)","DOI":"10.1109\/ICDE48307.2020.00098"},{"key":"35_CR25","doi-asserted-by":"crossref","unstructured":"Yen, A.Z., Huang, H.H., Chen, H.H.: Multimodal joint learning for personal knowledge base construction from Twitter-based lifelogs. Inf. Process. Manage. 57(6), 102148 (2019)","DOI":"10.1016\/j.ipm.2019.102148"},{"key":"35_CR26","doi-asserted-by":"publisher","first-page":"169434","DOI":"10.1109\/ACCESS.2019.2955498","volume":"7","author":"X Yin","year":"2019","unstructured":"Yin, X., Huang, Y., Zhou, B., Li, A., Lan, L., Jia, Y.: Deep entity linking via eliminating semantic ambiguity with BERT. IEEE Access 7, 169434\u2013169445 (2019)","journal-title":"IEEE Access"},{"key":"35_CR27","doi-asserted-by":"crossref","unstructured":"Zheng, B., et al.: Online trichromatic pickup and delivery scheduling in spatial crowdsourcing. In: 2020 IEEE 36th International Conference on Data Engineering (ICDE), pp. 973\u2013984. IEEE (2020)","DOI":"10.1109\/ICDE48307.2020.00089"},{"issue":"5","key":"35_CR28","doi-asserted-by":"publisher","first-page":"643","DOI":"10.14778\/3377369.3377374","volume":"13","author":"B Zheng","year":"2020","unstructured":"Zheng, B., Zhao, X., Weng, L., Hung, N.Q.V., Liu, H., Jensen, C.S.: PM-LSH: a fast and accurate lSH framework for high-dimensional approximate NN search. Proceedings of the VLDB Endow. 13(5), 643\u2013655 (2020)","journal-title":"Proceedings of the VLDB Endow."},{"issue":"1","key":"35_CR29","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1109\/TKDE.2018.2879819","volume":"32","author":"B Zheng","year":"2018","unstructured":"Zheng, B., et al.: Answering why-not group spatial keyword queries. IEEE Trans. Knowl. Data Eng. 32(1), 26\u201339 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"35_CR30","unstructured":"Zhu, Y., Zhang, C., R\u00e9, C., Fei-Fei, L.: Building a large-scale multimodal knowledge base system for answering visual queries. arXiv preprint arXiv:1507.05670 (2015)"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-73197-7_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T15:19:50Z","timestamp":1628349590000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-73197-7_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030731960","9783030731977"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-73197-7_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"6 April 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taipei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","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":"11 April 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/dm.iis.sinica.edu.tw\/DASFAA2021\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"490","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":"98","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":"33","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":"20% - 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":"4","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":"7","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)"}},{"value":"Due to the Corona pandemic this event was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}