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SEPDA 2016 : The 1st International Workshop on Semantics-Powered Data Analytics


When Dec 15, 2016 - Dec 15, 2016
Where Shenzhen, China
Submission Deadline Oct 15, 2016
Notification Due Nov 10, 2016
Final Version Due Nov 20, 2016
Categories    health informatics   computer science   ontology   linked data

Call For Papers

Call for Papers -- SEPDA 2016

The 1st International Workshop on Semantics-Powered Data Analytics (SEPDA 2016)

in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016)
to be held at Shenzhen, China
on December 15, 2016


Biomedical ontologies and controlled terminologies provide structured domain knowledge to a variety of health information systems. The rich thesaurus with concepts linked by semantic relationships has been widely used in natural language processing, data mining, machine learning, semantic annotation, and automated reasoning. The dramatically increasing amount of health-related data poses unprecedented opportunities for mining previously unknown knowledge with semantics-powered data analytics methods. However, due to the heterogeneity of different data sources, it is a challenging problem to exploit multiple sources to solve real-world problems such as designing cost-effective treatment plan for patients, designing generalizable clinical trials, drug repurposing, and clinical phenotyping. The goal of this workshop is to bring people in the field of knowledge representation, knowledge management, and health data analytics to discuss innovative semantic methods, applications, and data analytics to address problems in healthcare, biomedicine, public health, and clinical research with biomedical, clinical, behavioral, and social web data.

We are inviting original research submissions (8 pages) as well as work-in-progress (4 pages). All the accepted papers will be published in the main conference proceedings of BIBM 2016. Selected full papers will be invited to submit an extended version of the paper to a special issue of the Journal of Healthcare Engineering (Pending, Impact Factor: 0.755; Indexed in: PubMed and SCI).

Research Topics

Topics of interest include but not limited to:

Ontologies and Controlled Terminologies
● Ontology development and enrichment
● Quality assurance of ontologies and controlled terminologies
● Semantic harmonization and ontology alignment
● Knowledge representation and reasoning

Semantics-based Data Analytics
● Ontology-based literature mining
● Ontology-based analysis on biomedical, clinical, or social web data
● Named entity recognition and relation extraction on biomedical, clinical, or social web data
● Data mining or machine learning on biomedical, clinical or social web data
● Semantic annotation on biomedical, clinical or social web data

Data Integration
● Linked open data
● Novel approaches for data integration of heterogeneous data sources
● Large scale data integration

● Novel tools and ontologies for data interpretation and visualization
● Drug repurposing using semantic web technologies
● Clinical trial generalizability assessment using semantic web technologies
● Algorithmic phenotyping and cohort identification using ontologies
● Improving the literacy of health information consumers

Important Dates

Oct 15, 2016: Due date for full workshop paper submissions
Oct 30, 2016: Due date for work-in-progress paper submissions
Nov 10, 2016: Notification of paper acceptance to authors
Nov 20, 2016: Camera-ready of accepted papers
Dec 15, 2016: SEPDA 2016 Workshop

Program Co-chairs:

• Zhe He, PhD, School of Information, Florida State University, USA
• Cui Tao, PhD, School of Biomedical Informatics, University of Texas Health Center at Houston, USA
• Michel Dumontier, PhD, School of Medicine, Stanford University, USA
• Jiang Bian, PhD, Department of Health Outcomes and Policy, University of Florida, USA

Technical Program Committee Members

• William Hogan, University of Florida, USA
• Rui Zhang, University of Minnesota, USA
• GQ Zhang, University of Kentucky, USA
• James Geller, New Jersey Institute of Technology, USA
• Guoqian Jiang, Mayo Clinic, USA
• Zhihui Luo, University of Wisconsin, Milwaukee, USA
• Tianyong Hao, Guangdong University of Foreign Studies, China
• Amanda Hicks, University of Florida, USA
• Hong Cui, University of Arizona, USA
• Yongqun “Oliver” He, University of Michigan, USA
• Fernando Martin-Sanchez, Weill Cornell College of Medicine, USA
• Vasant Honavar, Pennsylvania State University, USA
• James Cimino, University of Alabama at Birmingham, USA
• Licong Cui, University of Kentucky, USA
• Xia Jing, Ohio University, USA
• Hongfang Liu, Mayo Clinic, USA
• Riccardo Miotto, Icahn School of Medicine at Mount Sinai, USA
• Olivier Bodenreider, US National Library of Medicine, USA
• Dingcheng Li, Mayo Clinic, USA
• Kin Wah Fung, US National Library of Medicine, USA
• Fleur Mougin, University of Bordeaux, France
• Praveen Chandar, IBM Research, USA
• Samson Tu, Stanford University, USA
• Kevin Cohen, University of Colorado, USA
• Hua Xu, University of Texas Health Center at Houston
• Yonghui Wu, University of Texas Health Center at Houston
• Ronald Cornet, University of Amsterdam, Netherlands
• Jingshan Huang, University of South Alabama
• Yi Guo, University of Florida


Please email Workshop co-chair, Zhe He (

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