Leveraging Biological and Biomedical Ontology to Facilitate Translational Biomedical Informatics

Submitted by pankaj on

Organizer(s):

  • Feichen Shen
  • Yugyung Lee
  • He Zhe
  • Hongfang Liu

Workshop type:

  • Workshop

Workshop Abstract

In recent years, a large number of ontologies have been introduced for biomedical research and clinical practice. As a result, there exist increasing demands on knowledge discovery and sharing of large scale biomedical data. The first notable effort shown by the biomedical and scientific community toward connecting scattered biomedical data is to materialize them through the open data movement (i.e., the Linked Data, bio2RDF, OBO). In the field of translational biomedical informatics, biomedical ontologies are always viewed as important knowledge pieces to facilitate the development of innovative analytic methods and tools to transform large amount of biomedical and genomic data into meaningful clinical and biomedical knowledge. It will largely accelerate information exchange to achieve the goal of transforming research outputs to clinical practice (bench-to-bedside), in order to conduct biomedical knowledge discovery and improve health services and patient care outcomes.

Rational:

Our proposed workshop targets on the research studies of using biological and biomedical ontology to facilitate the translational research in biomedical informatics. We’d like to address this issue by generating work, discussion, and publication about good practices for using ontologies in biomedical informatics domain. This workshop will attract a small group of researchers and scientists in this domain and will provide a more dedicated and focused topic.

We propose a half-day ICBO workshop. We will arrange 3 hours for paper presentation and Q&A. Different sessions will be arranged based on the topics of presentations. Depending on the number of papers accepted for presentation, each paper presentation will be restricted to 10-25 minutes for a full-length paper, and 5-15 minutes for a short-length paper. All the papers will be submitted and handled through EasyChair and go through peer reviews by at least two reviewers.

Funding:

N/A