{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T20:41:34Z","timestamp":1746304894576,"version":"3.28.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671414","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:39:16Z","timestamp":1642106356000},"page":"3480-3485","source":"Crossref","is-referenced-by-count":7,"title":["Retrieving of Data Similarity using Metadata on a Data Analysis Competition Platform"],"prefix":"10.1109","author":[{"given":"Hiroki","family":"Sakaji","sequence":"first","affiliation":[]},{"given":"Teruaki","family":"Hayashi","sequence":"additional","affiliation":[]},{"given":"Yoshiaki","family":"Fukami","sequence":"additional","affiliation":[]},{"given":"Takumi","family":"Shimizu","sequence":"additional","affiliation":[]},{"given":"Hiroyasu","family":"Matsushima","sequence":"additional","affiliation":[]},{"given":"Kiyoshi","family":"Izumi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","first-page":"3982","article-title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","author":"reimers","year":"2020","journal-title":"Proceedings of Conference on Empirical Methods in Natural Language Processing and the International Joint Conference on Natural Language Processing"},{"key":"ref31","first-page":"2786","article-title":"Siamese Recurrent Architectures for Learning Sentence Similarity","author":"mueller","year":"2016","journal-title":"Proceedings of Association for the Advancement of Artificial Intelligence"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1181"},{"key":"ref10","article-title":"BERT: pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"CoRR"},{"journal-title":"The Basics of Social Research","year":"2016","author":"babbie","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/S1573-4412(07)06075-8"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2975064"},{"key":"ref14","first-page":"33","article-title":"Calculating similarities of overviews on data exchange platform","volume":"120","author":"sakaji","year":"2021","journal-title":"IEICE technical report"},{"key":"ref15","first-page":"775","article-title":"Corpus-Based and Knowledge-based Measures of Text Semantic Similarity","author":"mihalcea","year":"2006","journal-title":"Proceedings of American Association for Artificial Intelligence"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.130"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2009.06.008"},{"key":"ref18","first-page":"1","article-title":"Sentence similarity measures for essay coherence","author":"higgins","year":"2007","journal-title":"Proceedings of the 7th International Workshop on Computational Semantics IWCS"},{"key":"ref19","article-title":"Random indexing of text samples for latent semantic analysis","volume":"22","author":"kanerva","year":"2000","journal-title":"Proceedings of the Annual Meeting of the Cognitive Science Society"},{"key":"ref28","first-page":"495","article-title":"Comparing Word Relatedness Measures Based on Google n-grams","author":"islam","year":"2012","journal-title":"Proceedings of International Conference on Computational Linguistics"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/info11040218"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3091478.3098878"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2015.7363784"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2018.00034"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JCDL.2017.7991568"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2928256"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s00354-019-00080-0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2019.00015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.14778\/2824032.2824100"},{"key":"ref9","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013","journal-title":"CoRR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/357489.357513"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.104.2.211"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.11.022"},{"key":"ref21","first-page":"236","article-title":"Vector-based Models of Semantic Composition","author":"mitchell","year":"2008","journal-title":"Proceedings of Association for Computational Linguistics"},{"key":"ref24","first-page":"418","article-title":"Word Sense Disambiguation-based Sentence Similarity","volume":"2","author":"ho","year":"2010","journal-title":"Proceedings of International Conference on Computational Linguistics"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.48"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2011.01.002"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.10.043"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2021,12,15]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671414.pdf?arnumber=9671414","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:34Z","timestamp":1652201734000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671414\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671414","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}