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.
In the past three years, 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 released in June 2018 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 for SEPDA to continue our momentum and allow researchers to present and discuss novel methods and applications in this fast growing field. This year, we will hold SEPDA in ISWC, the premier conference in semantic web.
Topics of interest include but not limited to:
June 28, 2019: Due date for full / work-in-progress workshop papers submission
July 24, 2019: Notification of paper acceptance to authors
August 10, 2019: Camera-ready of accepted papers
October 26, 2019: SEPDA 2019 Workshop
We are inviting original research submissions (FULL 12 pages), work-in-progress (SHORT 4 pages), and poster abstracts (2 pages).
All the accepted submissions will be presented in SEPDA 2019. The abstracts of full papers (2 pages) and the short papers (4 pages) will be published in CEUR Workshop Proceedings.
The full papers will be published in a mainstream journal in semantic web / biomedical informatics (TBA).
Submission site: Submit a New Paper
Submissions must be in English formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer’s Author Instructions.