Automated extraction of domain-specific clinical ontologies by Chimezie Ogbuji from Case Western Research University School of Medicine. 10 AM PT Weds Oct. 5, 2011.
Full NCBO Webinar schedule: http://www.bioontology.org/webinar-series
ABSTRACT:
A significant set of challenges in the use of large, source ontologies in the medical domain include: automated translation, customization of source ontologies, and performance issues associated with the use of logical reasoning systems to interpret the meaning of a domain captured in a formal knowledge representation.
SNOMED-CT and FMA are two reference ontologies that cover much of the domain of clinical medicine and motivate a better means for the re-use of such ontologies. In this presentation, the author will present a set of automated methods (and tools) for segmenting, merging, and surveying modules extracted from these ontologies for a specific domain.
I’m interested generally but in particular about the merging aspects, for obvious reasons. Another reason to be interested is some research I encountered recently on “outliers” in reasoning systems. Apparently there is a class of reasoning systems that simply “fall over” if they encounter a concept they recognize (or “think” they do) only to find it has some property (what makes it an “outlier”) that they don’t. Seems rather fragile to me but I haven’t finished running it to ground. Curious how these methods and tools handle the “outlier” issue.
SPEAKER BIO:
Chimezie is a senior research associate in the Clinical Investigations Department of the Case Western Research University School of Medicine where he is responsible for managing, developing, and implementing Clinical and Translational Science Collaborative (CTSC) projects as well as clinical, biomedical, and administrative informatics projects for the Case Comprehensive Cancer Center.
His research interests are in applied ontology, knowledge representation, content repository infrastructure, and medical informatics. He has a BS in computer engineering from the University of Illinois and is a part-time PhD student in the Case Western School of Engineering. He most recently appeared as a guest editor in IEEE Internet Computing’s special issue on Personal Health Records in the August 2011 edition.
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