{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T04:29:49Z","timestamp":1781584189586,"version":"3.54.5"},"publisher-location":"New York, New York, USA","reference-count":18,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Programon Key Basic Research Project of China (973Program)","award":["2014CB340305 2015CB358700"],"award-info":[{"award-number":["2014CB340305 2015CB358700"]}]},{"name":"Beijing S&#38;T Committee","award":["Z161100000216127"],"award-info":[{"award-number":["Z161100000216127"]}]},{"name":"National Natural Science Foundation of China","award":["61772059 61421003"],"award-info":[{"award-number":["61772059 61421003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3178876.3186017","type":"proceedings-article","created":{"date-parts":[[2018,4,13]],"date-time":"2018-04-13T15:53:48Z","timestamp":1523634828000},"page":"1185-1194","source":"Crossref","is-referenced-by-count":65,"title":["Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding"],"prefix":"10.1145","author":[{"given":"Richong","family":"Zhang","sequence":"first","affiliation":[{"name":"Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junpeng","family":"Li","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiajie","family":"Mei","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongyi","family":"Mao","sequence":"additional","affiliation":[{"name":"University of Ottawa, Ottawa, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","reference":[{"key":"key-10.1145\/3178876.3186017-1","unstructured":"S&#246;ren Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. 2007. Dbpedia: A nucleus for a web of open data. Springer."},{"key":"key-10.1145\/3178876.3186017-2","doi-asserted-by":"crossref","unstructured":"Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008. Freebase: a collaboratively created graph database for structuring human knowledge Proceedings of the 2008 ACM SIGMOD international conference on Management of data. ACM.","DOI":"10.1145\/1376616.1376746"},{"key":"key-10.1145\/3178876.3186017-3","doi-asserted-by":"crossref","unstructured":"Antoine Bordes, Xavier Glorot, Jason Weston, and Yoshua Bengio. 2014. A semantic matching energy function for learning with multi-relational data. Machine Learning, Vol. 94, 2 (2014), 233--259.","DOI":"10.1007\/s10994-013-5363-6"},{"key":"key-10.1145\/3178876.3186017-4","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data Advances in Neural Information Processing Systems. 2787--2795."},{"key":"key-10.1145\/3178876.3186017-5","doi-asserted-by":"crossref","unstructured":"Antoine Bordes, Jason Weston, Ronan Collobert, and Yoshua Bengio. 2011. Learning structured embeddings of knowledge bases. Conference on Artificial Intelligence.","DOI":"10.1609\/aaai.v25i1.7917"},{"key":"key-10.1145\/3178876.3186017-6","doi-asserted-by":"crossref","unstructured":"David Liben-Nowell and Jon M. Kleinberg. 2007. The link-prediction problem for social networks. JASIST, Vol. 58, 7 (2007), 1019--1031.","DOI":"10.1002\/asi.20591"},{"key":"key-10.1145\/3178876.3186017-7","unstructured":"Yankai Lin, Zhiyuan Liu, Huanbo Luan, Maosong Sun, Siwei Rao, and Song Liu. 2015. Modeling Relation Paths for Representation Learning of Knowledge Bases Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, Lisbon, Portugal."},{"key":"key-10.1145\/3178876.3186017-8","unstructured":"Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015. Learning Entity and Relation Embeddings for Knowledge Graph Completion Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI'15)."},{"key":"key-10.1145\/3178876.3186017-9","doi-asserted-by":"crossref","unstructured":"Alex Marin, Roman Holenstein, Ruhi Sarikaya, and Mari Ostendorf. 2014. Learning phrase patterns for text classification using a knowledge graph and unlabeled data Fifteenth Annual Conference of the International Speech Communication Association.","DOI":"10.21437\/Interspeech.2014-63"},{"key":"key-10.1145\/3178876.3186017-10","unstructured":"David E Rumelhart, Geoffrey E Hinton, and Ronald J Williams. 1988. Learning representations by back-propagating errors. Cognitive modeling, Vol. 5, 3 (1988), 1."},{"key":"key-10.1145\/3178876.3186017-11","unstructured":"Richard Socher, Danqi Chen, Christopher D Manning, and Andrew Ng. 2013. Reasoning with neural tensor networks for knowledge base completion Advances in Neural Information Processing Systems. 926--934."},{"key":"key-10.1145\/3178876.3186017-12","unstructured":"Fabian M Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2007. Yago: a core of semantic knowledge. In Proceedings of the 16th international conference on World Wide Web. ACM, 697--706."},{"key":"key-10.1145\/3178876.3186017-13","unstructured":"Yi Tay, Anh Tuan Luu, Siu Cheung Hui, and Falk Brauer. 2017. Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6--10, 2017. 751--760."},{"key":"key-10.1145\/3178876.3186017-14","doi-asserted-by":"crossref","unstructured":"Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014. Knowledge graph embedding by translating on hyperplanes Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence. 1112--1119.","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"key-10.1145\/3178876.3186017-15","unstructured":"Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, and Richong Zhang. 2016. On the Representation and Embedding of Knowledge Bases beyond Binary Relations Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9--15 July 2016. 1300--1307."},{"key":"key-10.1145\/3178876.3186017-16","doi-asserted-by":"crossref","unstructured":"Han Xiao, Minlie Huang, and Xiaoyan Zhu. 2016. TransG : A Generative Model for Knowledge Graph Embedding Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7--12, 2016, Berlin, Germany, Volume 1: Long Papers.","DOI":"10.18653\/v1\/P16-1219"},{"key":"key-10.1145\/3178876.3186017-17","doi-asserted-by":"crossref","unstructured":"Chenyan Xiong and Jamie Callan. 2015. EsdRank: Connecting Query and Documents Through External Semi-Structured Data Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM '15). ACM, New York, NY, USA, 951--960.","DOI":"10.1145\/2806416.2806456"},{"key":"key-10.1145\/3178876.3186017-18","doi-asserted-by":"crossref","unstructured":"Chenyan Xiong and Jamie Callan. 2015. Query Expansion with Freebase. In Proceedings of the Fifth ACM International Conference on the Theory of Information Retrieval. ACM.","DOI":"10.1145\/2808194.2809446"}],"event":{"name":"the 2018 World Wide Web Conference","location":"Lyon, France","acronym":"WWW '18","number":"2018","sponsor":["SIGWEB, ACM Special Interest Group on Hypertext, Hypermedia, and Web","IW3C2, International World Wide Web Conference Committee"],"start":{"date-parts":[[2018,4,23]]},"end":{"date-parts":[[2018,4,27]]}},"container-title":["Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3178876.3186017","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3186017&ftid=1957423&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:26:59Z","timestamp":1750213619000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3178876.3186017"}},"subtitle":[],"proceedings-subject":"World Wide Web","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1145\/3178876.3186017","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}