Issue Special Issue 4/2020
Selected articles from the Fourth International Workshop on Semantics-Powered Data Analytics (SEPDA 2019)
Content (8 Articles)
Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)
Zhe He, Cui Tao, Jiang Bian, Rui Zhang
Open Access
Research
KGen: a knowledge graph generator from biomedical scientific literature
Anderson Rossanez, Julio Cesar dos Reis, Ricardo da Silva Torres, Hélène de Ribaupierre
Open Access
Research
MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph
Gilles Vandewiele, Bram Steenwinckel, Filip De Turck, Femke Ongenae
Open Access
Research
An ontology-based documentation of data discovery and integration process in cancer outcomes research
Hansi Zhang, Yi Guo, Mattia Prosperi, Jiang Bian
A semantic relationship mining method among disorders, genes, and drugs from different biomedical datasets
Li Zhang, Jiamei Hu, Qianzhi Xu, Fang Li, Guozheng Rao, Cui Tao
Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents
Muhammad Amith, Rebecca Z. Lin, Licong Cui, Dennis Wang, Anna Zhu, Grace Xiong, Hua Xu, Kirk Roberts, Cui Tao
Treatment effect prediction with adversarial deep learning using electronic health records
Jiebin Chu, Wei Dong, Jinliang Wang, Kunlun He, Zhengxing Huang
A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu