The Bio-Ontologies SIG provides a a vibrant forum for discussion of the latest and most innovative research in the application of ontologies and more generally the organization, presentation and dissemination of knowledge in biomedicine and the life sciences. Bio-Ontologies has existed as a SIG at ISMB for 18 years, making it one of the longest running.
The 2016 meeting will be a two day SIG (July 8 and 9), with July 9th being the “Phenotype Day”, focused on the systematic description of phenotypes. Phenotype Day will bring together researchers across many disciplines to discuss phenotype-related issues and resources, and to share their experience with defining, representing, processing and using phenotype data.
Martin Romacker, Data and Information Architect
The bio-medical domain is by far the scientific and industrial domain providing the richest set of well-designed and comprehensive ontologies. These ontologies cover all aspects of research and development. At the same time, the bio-medical domain has pioneered the creation and integration of ontologies both in the sciences and the industry during the last 30 years. Despite the wealth of resources and experience the adoption of ontology-driven data standards is still not very common in the Pharma Industry and in Pharma Research in particular. This is quite surprising given the importance of data quality and the need for a strategic management of corporate/ research data assets. In my presentation, I would like to highlight some of the causes for the limited range of Bio-Ontologies in Pharma and define some strategies to strengthen the role of Bio-Ontologies in Data Management. I would like to conclude with some success stories helping us to boost the acceptance and usage of Semantic Technologies in our industry."
Martin is a Principal Scientist in Data and Information Architecture and Terminologies at Roche Innovation Center Basel. His primary focus is the definition and application of Data Standards to facilitate data federation and answering of complex scientific queries. Current activities include Terminology Management, Semantic Engineering, Scientific Data Integration/Curation, Text Mining and Information Retrieval/ Search Technologies. Previously Martin was working as a Senior Knowledge Engineering Consultant at Novartis Institutes of Biomedical Research. He has more than 20 years of practical experience in knowledge management and holds a PhD in Computational Linguistics from University of Freiburg, Germany.
Dr. Parsa Mirhaji, Ph.D, MD
Albert Einstein College of Medicine