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 mining and 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 ontologies, data mining, knowledge representation, knowledge management, and 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 as well as work-in-progress. Selected full papers will be invited to submit an extended version to a special issue of a premier journal in biomedical informatics.
SEPDA has been established as a key venue for disseminating research on health data analytics using semantic web technologies such as ontologies. In the past few years, we have seen an increasing interest in using semantic web technologies for health data analysis with more and more submissions that present novel methods and applications for linked open data, information extraction, semantic-web-based knowledge bases, and deep learning. The NIH Data Science Strategic Plan explicitly commits to ensuring that all data-science activities and products supported by the agency adhere to the FAIR principles, meaning that data be Findable, Accessible, Interoperable, and Reusable. Semantic web technologies play a crucial role to address the FAIR principles. With the infrastructure support such as NCBO’s BioPortal for ontology maintenance, the CEDAR software for metadata creation and validation, more and more researchers are using ontologies and semantic web technologies for knowledge representation, semantic inference, natural language processing, and data analytics. Meanwhile, we received submissions that use semantic-based methods to tackle critical problems in biomedical informatics such as extracting drug-drug interaction, drug repurposing, adverse drug reaction, detecting early signals for cognitive impairment, and visualizing dietary supplement knowledge. It is thus critical to hold SEPDA workshop annually to continue our momentum and allow researchers to present and discuss novel methods and applications in this fast-growing field. In the previous four years, we held SEPDA in IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016, BIBM 2017, BIBM 2018) and International Semantic Web Conference (ISWC 2019).
Topics of interest include but not limited to:
Please submit a 2-page abstract, a short paper (up to 4 page IEEE 2-column format), or a full-length paper (up to 8 page IEEE 2-column format) through the online submission system (you can download the format instruction here). Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.
Link to the submission siteNote:
In case you cannot open the hyperlink, the link to IEEE template is: http://www.ieee.org/conferences_events/conferences/publishing/templates.html
|The 5th International Workshop on Semantics-Powered Data Mining and Analytics
WorkshopChairs: Zhe He, Jiang Bian, Cui Tao, Rui Zhang, Xia Hu
|9:00 am – 9:05 am||Introduction to SEPDA 2020||Zhe He|
|9:05 am – 10:00 am||Keynote||Rui Zhang|
|10:00 am – 10:10 am||Coffee Break|
|10:10 am – 11:30 am||Session 1: Ontology Research (Session Chair: Zhe He)|
|10:10 am – 10:30 am||A Lexical-based Formal Concept Analysis Method to Identify Missing Concepts in the NCI Thesaurus (S08201)||Fengbo Zheng and Licong Cui|
|10:30 am – 10:50 am||A Health Consumer Ontology of Fast Food Information (S08205)||Muhammad Amith, Jing Wang, Grace Xiong, Kirk Roberts, and Cui Tao
|10:50 am – 11:10 am||NCCD – RxNorm: Linking Chinese Clinical Drugs to International Drug Vocabulary (S08207)||Yaoyun Zhang, Jing Li, and Mui Zandt|
|11:10 am – 11:30 am||Generating Training Data for Concept-Mining for an 'Interface Terminology' Annotating Cardiology EHRs (B723)||Vipina Keloth, Shuxin Zhou, Andrew Einstein, Gai Elhanan, Yan Chen, James Geller, and Yehoshua Perl|
|11:30 am – 11:50 am||Coffee Break|
11:50 am – 13:10 pm
|Session 2: Ontology-Based Analytics and Applications (Session Chair: Jiang Bian)|
|11:50 am – 12:10 pm||A Methodology to Develop Knowledge Graphs for Indication Expansion: An Exploratory Study (S08202)||Ozge Gurbuz, Miao Sun, and Nathan Lawless|
|12:10 pm – 12:30 pm||Deep Learning Identification of Asthma Inhaler Techniques in Clinical Notes (S08203)||Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young Juhn, and Sunghwan Sohn|
|12:30 pm – 12:50 pm||KEoG: A knowledge-aware edge-oriented graph neural network for document-level relation extraction (S08206)||Tao Li, Weihua Peng, Qingcai Chen, Xiaolong Wang, and Buzhou Tang|
|12:50 pm – 13:10 pm||Opioid2FHIR: A system for extracting FHIR-compatible opioid prescriptions from clinical text (S08208)||Jingqi Wang, William Mathews, Huy Pham, Hua Xu, and Yaoyun Zhang|
|13:10 pm – 13:20 pm||Closing Remarks|