The 1st International Workshop on

Quality Assurance of Biological and Biomedical Ontologies and Terminologies

in conjunction with IEEE International Conference on Bioinformatics and Biomedicine

Madrid, Spain, December 3 - 6, 2018

Overview

Ontologies and terminologies provide structured and unambiguous ways of representing domain information in biology and biomedicine. Examples of biological and biomedical ontologies and terminologies include SNOMED CT, Gene Ontology, Chemical Entities of Biological Interest, Foundational Model of Anatomy, and Logical Observation Identifier Names and Codes. They have served as knowledge sources for a wide range of biomedical applications including data integration and exchange, natural language processing, and decision support and reasoning.

These ontologies and terminologies tend to be large in size and regularly maintained through revisions and modifications in their lifecycle which may result in errors such as ambiguity, redundancy and modeling inconsistencies. As such, quality assurance of these ontologies and terminologies become important as they impact all the downstream applications that rely on them, and they may be used in applications that can affect patient-care such as in electronic health records and in clinical decision support systems.

The goal of this workshop is to bring together data analysts and researchers in the field of Bioinformatics, Biomedicine and Healthcare Informatics to discuss the role, importance, approaches and methods for quality assurance of biological and biomedical ontologies and terminologies.

Scope
The topics of this workshop include but are not limited to the following:
  • Novel methodologies for efficient and effective quality assurance of ontologies and terminologies
  • Algorithms for identifying errors or problematic areas within the ontologies and terminologies
  • Structural and lexical methods for quality assurance of ontologies and terminologies
  • Contextual and group auditing methods for quality assurance of ontologies and terminologies
  • Leveraging machine learning and natural language processing in quality assurance of ontologies and terminologies
  • Cross-ontology-based methods for quality assurance of ontologies and terminologies
  • Methods to evaluate the quality of ontologies and terminologies
  • Review of existing methods of quality assurance of ontologies and terminologies
  • Applications that can assist in the quality assurance of ontologies and terminologies such as utilizing crowdsourcing methods or using visualization
Timeline
  • Sept 15, 2018: Due date for workshop paper submission
  • Oct 15, 2018: Notification of paper acceptance to authors
  • Nov 3, 2018: Camera-ready copies of accepted papers
  • Dec 3-6, 2018: Workshop
Committee
Organizing Committee
  1. Ankur Agrawal, Manhattan College
  2. Licong Cui, University of Kentucky
Program Committee
  1. Olivier Bodenreider, National Library of Medicine
  2. James Geller, New Jersey Institute of Technology
  3. Huanying (Helen) Gu, New York Institute of Technology
  4. Zhe He, Florida State University
  5. Paul Morrey, Utah Valley University
  6. Duo Wei, Stockton University
  7. GQ Zhang, University of Kentucky
Submission
Please submit a full-length paper (upto 8 pages IEEE 2-column format) through the online submission system available at https://wi-lab.com/cyberchair/2018/bibm18/scripts/ws_submit.php.
You can download the format instructions at http://www.ieee.org/conferences_events/conferences/publishing/templates.html.
Electronic submissions in PDF are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.
Review Process
All papers will be reviewed by at least two reviewers. Reviewers will include the program committee members (experts from the field) as well as the contributing authors.
Registration
At least one author of an accepted paper needs to register in order to have the paper published in the proceedings. Registration information is available at http://orienta.ugr.es/bibm2018/registration.html#content
Contact
Ankur Agrawal (ankur at manhattan dot edu)