| Vol-2427 urn:nbn:de:0074-2427-8 Copyright © 2019 for the individual papers by the papers' authors. Copyright © by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# SEPDA 2019
The 4th International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)

### Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics
co-located with the 18th International Semantic Web Conference (ISWC 2019)

### Aukland, New Zealand, October 27, 2019.

Edited by

### Zhe He *
Jiang Bian **
Cui Tao ***
Rui Zhang ****

* Florida State University, USA
** University of Florida, USA
*** University of Texas Health Science Center at Houston, USA
**** University of Minnesota, USA

## Table of Contents

### Session 1: Knowledge Graph and Knowledge Base

- Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph 1-6
  Gilles Vandewiele, Bram Steenwinckel, Femke Ongenae, Filip De Turck
- Aero: An Evidence-based Semantic Web Knowledge Base of Cancer Behavioral Risk Factors 7-11
  Hansi Zhang, Xing He, Tyler Harrison, Jiang Bian
- Generating Knowledge Graphs from Scientific Literature of Degenerative Diseases 12-23
  Anderson Rossanez, Julio Cesar dos Reis

### Session 2: Ontology-Based Tools and Analytics

- An Ontology-Powered Dialogue Engine For Patient Communication of Vaccines 24-30
  Muhammad Amith, Rebecca Lin, Licong Cui, Dennis Wang, Anna Zhu, Grace Xiong, Hua Xu, Kirk Roberts, Cui Tao
- A Multi-Source Linked Open Data Fusion Method for Gene Disorder Drug Relationship Querying 31-35
  Guozheng Rao, Li Zhang, Xiaowang Zhang, Wenwen Li, Fang Li, Cui Tao
- Taxonomy Embeddings on PubMed Article Subject Headings 36-47
  Alyssa Lees, Jacek Korycki, Chris Welty, Shubin Zhao

### Session 3: Machine Learning Applications

- Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media 48-52
  Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu
- Treatment Effect Prediction with Generative Adversarial Networks Using Electronic Health Records 53-57
  Jiebin Chu, Wei Dong, Zhengxing Huang
- Feature Compression for Predicting Effective Drug Combination 58-62
  Guocai Chen, Xiaoqian Jiang, Wenjin Zheng

### Session 4: Ontology Development and Text Mining

- Ontology for Documentation of Variable and Data Source Selection Process to Support Integrative Data Analysis in Cancer Outcomes Research 63-67
  Hansi Zhang, Yi Guo, Jiang Bian
- Semantic Similarity of Side Effect and Indication Relations of Drugs Inferred from Neural Embedding 68-77
  Keyuan Jiang, Tingyu Chen, Liyuan Huang, Gelareh Karbaschi, Gordon Bernard

2019-08-15: submitted by Zhe He, metadata incl. bibliographic data published under Creative Commons CC0
2019-08-22: published on CEUR-WS.org |valid HTML5|