{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T22:23:05Z","timestamp":1784240585323,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T00:00:00Z","timestamp":1638403200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"KnowWhereGraph: Enriching and Linking Cross-Domain Knowledge Graphs using Spatially-Explicit AI Technologies","award":["2033521"],"award-info":[{"award-number":["2033521"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,12,2]]},"DOI":"10.1145\/3460210.3493566","type":"proceedings-article","created":{"date-parts":[[2021,11,24]],"date-time":"2021-11-24T23:13:17Z","timestamp":1637795597000},"page":"121-128","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Time in a Box"],"prefix":"10.1145","author":[{"given":"Ling","family":"Cai","sequence":"first","affiliation":[{"name":"University of California, Santa Barbara, Santa Barbara, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krzysztof","family":"Janowicz","sequence":"additional","affiliation":[{"name":"University of California, Santa Barbara, Santa Barbara, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Yan","sequence":"additional","affiliation":[{"name":"University of California, Santa Barbara, Santa Barbara, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Zhu","sequence":"additional","affiliation":[{"name":"University of California, Santa Barbara, Santa Barbara, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gengchen","family":"Mai","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,12,2]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473","author":"Bahdanau Dzmitry","year":"2014","unstructured":"Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 ( 2014 ). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014)."},{"key":"e_1_3_2_1_2_1","volume-title":"Translating embeddings for modeling multi-relational data. Advances in neural information processing systems 26","author":"Bordes Antoine","year":"2013","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 26 ( 2013 ), 2787--2795. 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 26 (2013), 2787--2795."},{"key":"e_1_3_2_1_3_1","volume-title":"Swayambhu Nath Ray, and Partha Talukdar","author":"Dasgupta Shib Sankar","year":"2018","unstructured":"Shib Sankar Dasgupta , Swayambhu Nath Ray, and Partha Talukdar . 2018 . Hyte : Hyperplane-based temporally aware knowledge graph embedding. In EMNLP. Shib Sankar Dasgupta, Swayambhu Nath Ray, and Partha Talukdar. 2018. Hyte: Hyperplane-based temporally aware knowledge graph embedding. In EMNLP."},{"key":"e_1_3_2_1_4_1","volume-title":"Learning Sequence Encoders for Temporal Knowledge Graph Completion","author":"Garc\u00eda-Dur\u00e1n Alberto","unstructured":"Alberto Garc\u00eda-Dur\u00e1n , Sebastijan Duman?i?, and Mathias Niepert . 2018. Learning Sequence Encoders for Temporal Knowledge Graph Completion . In EMNLP. Association for Computational Linguistics , Brussels, Belgium , 4816--4821. Alberto Garc\u00eda-Dur\u00e1n, Sebastijan Duman?i?, and Mathias Niepert. 2018. Learning Sequence Encoders for Temporal Knowledge Graph Completion. In EMNLP. Association for Computational Linguistics, Brussels, Belgium, 4816--4821."},{"key":"e_1_3_2_1_5_1","volume-title":"Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols","author":"Jain Prachi","unstructured":"Prachi Jain , Sushant Rathi , Mausam, and Soumen Chakrabarti . 2020. Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols . In EMNLP. Association for Computational Linguistics , Online , 3733--3747. Prachi Jain, Sushant Rathi, Mausam, and Soumen Chakrabarti. 2020. Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols. In EMNLP. Association for Computational Linguistics, Online, 3733--3747."},{"key":"e_1_3_2_1_6_1","unstructured":"Woojeong Jin Meng Qu Xisen Jin and Xiang Ren. 2020. Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs. In EMNLP. 6669--6683.  Woojeong Jin Meng Qu Xisen Jin and Xiang Ren. 2020. Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs. In EMNLP. 6669--6683."},{"key":"e_1_3_2_1_7_1","unstructured":"Timoth\u00e9e Lacroix Guillaume Obozinski and Nicolas Usunier. 2019. Tensor Decompositions for Temporal Knowledge Base Completion. In ICML.  Timoth\u00e9e Lacroix Guillaume Obozinski and Nicolas Usunier. 2019. Tensor Decompositions for Temporal Knowledge Base Completion. In ICML."},{"key":"e_1_3_2_1_8_1","unstructured":"Hongyu Ren Weihua Hu and Jure Leskovec. 2019. Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings. In ICML.  Hongyu Ren Weihua Hu and Jure Leskovec. 2019. Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings. In ICML."},{"key":"e_1_3_2_1_9_1","volume-title":"Rotate: Knowledge graph embedding by relational rotation in complex space. arXiv preprint arXiv:1902.10197","author":"Sun Zhiqing","year":"2019","unstructured":"Zhiqing Sun , Zhi-Hong Deng , Jian-Yun Nie , and Jian Tang . 2019 . Rotate: Knowledge graph embedding by relational rotation in complex space. arXiv preprint arXiv:1902.10197 (2019). Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019. Rotate: Knowledge graph embedding by relational rotation in complex space. arXiv preprint arXiv:1902.10197 (2019)."},{"key":"e_1_3_2_1_10_1","unstructured":"Rakshit Trivedi Hanjun Dai Yichen Wang and Le Song. 2017. Know-evolve: deep temporal reasoning for dynamic knowledge graphs. In ICML-Volume 70.  Rakshit Trivedi Hanjun Dai Yichen Wang and Le Song. 2017. Know-evolve: deep temporal reasoning for dynamic knowledge graphs. In ICML-Volume 70."},{"key":"e_1_3_2_1_11_1","unstructured":"Th\u00e9o Trouillon Johannes Welbl Sebastian Riedel \u00c9ric Gaussier and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. ICML.  Th\u00e9o Trouillon Johannes Welbl Sebastian Riedel \u00c9ric Gaussier and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. ICML."},{"key":"e_1_3_2_1_12_1","volume-title":"Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575","author":"Yang Bishan","year":"2014","unstructured":"Bishan Yang , Wen-tau Yih, Xiaodong He , Jianfeng Gao , and Li Deng . 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575 ( 2014 ). Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575 (2014)."}],"event":{"name":"K-CAP '21: Knowledge Capture Conference","location":"Virtual Event USA","acronym":"K-CAP '21","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence"]},"container-title":["Proceedings of the 11th Knowledge Capture Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460210.3493566","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3460210.3493566","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:19Z","timestamp":1750188619000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460210.3493566"}},"subtitle":["Advancing Knowledge Graph Completion with Temporal Scopes"],"short-title":[],"issued":{"date-parts":[[2021,12,2]]},"references-count":12,"alternative-id":["10.1145\/3460210.3493566","10.1145\/3460210"],"URL":"https:\/\/doi.org\/10.1145\/3460210.3493566","relation":{},"subject":[],"published":{"date-parts":[[2021,12,2]]},"assertion":[{"value":"2021-12-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}