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Saturday, April 25 • 2:10pm - 2:50pm
The Ingenuity Biomedical Knowledge-Base: Advantages of Modeling Knowledge in an Ontology

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Today’s enormous corpus of biomedical knowledge presents amazing opportunities to improve human health.  However, the knowledge’s fragmentation across the literature and numerous databases poses serious challenges to those opportunities. The Ingenuity Biomedical Knowledgebase (KB) addresses those challenges, providing a framework to model biomedical knowledge in a unified system – implemented as a frame-based ontology. That structure facilitates powerful inference and quality-control features.

Using the Ingenuity KB, Ingenuity Systems (now a part of QIAGEN) provides software solutions to interpret biological datasets. By aligning those datasets (e.g., raw research observations or clinical genomic-testing data) to the KB, it can be viewed, analyzed, and interpreted in the context of relevant biological and biomedical knowledge. I’ll discuss the Ingenuity ontology structure, building process, maintenance regime, and several use-cases. 

avatar for Jeff Lerman

Jeff Lerman

Staff Ontology Engineer, QIAGEN Silicon Valley (formerly Ingenuity Systems)
Biomedical ontology developer for eight years, focusing on knowledge models for diseases, gene products, and genetic variants. NLP projects include development of word-sense disambiguation approaches to identify genes discussed in biomedical publications, and ontology-leveraged scientific article classification by topic. Before QIAGEN, Jeff studied molecular biology at Princeton (Ph.D.), and did a postdoc in protein structure/function at U.C... Read More →

Saturday April 25, 2015 2:10pm - 2:50pm

Attendees (7)