Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)-Reference-Cited by-同舟云学术

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

Published:2020-12 Issue:S4 Volume:20 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

He Zhe,Tao Cui,Bian Jiang,Zhang Rui

Abstract

AbstractIn 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.

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1186/s12911-020-01292-x.pdf

Reference23 articles.

1. Duan Y, Edwards JS, Dwivedi YK. Artificial intelligence for decision making in the era of Big Data-evolution, challenges and research agenda. Int J Inf Manag. 2019;48:63–71.

2. Bodenreider O. Biomedical ontologies in action: role in knowledge management, data integration and decision support. Yearb Med Inform. 2008;17(01):67–79. https://doi.org/10.1055/s-0038-1638585.

3. Amith M, He Z, Bian J, Lossio-Ventura JA, Tao C. Assessing the practice of biomedical ontology evaluation: gaps and opportunities. J Biomed Inform. 2018;80:1–13.

4. Yoo I-H, Song M. Biomedical ontologies and text mining for biomedicine and healthcare: a survey. J Comput Sci Eng. 2008;2(2):109–36.

5. Amos L, Anderson D, Brody S, Ripple A, Humphreys BL. UMLS users and uses: a current overview. J Am Med Inform Assoc. 2020;27(10):1606–11.