Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)

In this introduction, we first summarize the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) held on October 26, 2019 in conjunction with the 18th International Semantic Web Conference (ISWC 2019) in Auckland, New Zealand, and then briefly introduce seven re...

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Detalles Bibliográficos
Autores principales: He, Zhe, Tao, Cui, Bian, Jiang, Zhang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Introduction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734704/
https://www.ncbi.nlm.nih.gov/pubmed/33317524
http://dx.doi.org/10.1186/s12911-020-01292-x
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author He, Zhe
Tao, Cui
Bian, Jiang
Zhang, Rui
author_facet He, Zhe
Tao, Cui
Bian, Jiang
Zhang, Rui
author_sort He, Zhe
collection PubMed
description In this introduction, we first summarize the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) held on October 26, 2019 in conjunction with the 18th International Semantic Web Conference (ISWC 2019) in Auckland, New Zealand, and then briefly introduce seven research articles included in this supplement issue, covering the topics on Knowledge Graph, Ontology-Powered Analytics, and Deep Learning.
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spelling pubmed-77347042020-12-15 Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) He, Zhe Tao, Cui Bian, Jiang Zhang, Rui BMC Med Inform Decis Mak Introduction In this introduction, we first summarize the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) held on October 26, 2019 in conjunction with the 18th International Semantic Web Conference (ISWC 2019) in Auckland, New Zealand, and then briefly introduce seven research articles included in this supplement issue, covering the topics on Knowledge Graph, Ontology-Powered Analytics, and Deep Learning. BioMed Central 2020-12-14 /pmc/articles/PMC7734704/ /pubmed/33317524 http://dx.doi.org/10.1186/s12911-020-01292-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Introduction
He, Zhe
Tao, Cui
Bian, Jiang
Zhang, Rui
Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)
title Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)
title_full Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)
title_fullStr Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)
title_full_unstemmed Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)
title_short Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)
title_sort selected articles from the fourth international workshop on semantics-powered data mining and analytics (sepda 2019)
topic Introduction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734704/
https://www.ncbi.nlm.nih.gov/pubmed/33317524
http://dx.doi.org/10.1186/s12911-020-01292-x
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