University of Cambridge > Talks.cam > NLIP Seminar Series > Semantics, Text, and Biomedical Knowledge Discovery: Challenges and Opportunities

Semantics, Text, and Biomedical Knowledge Discovery: Challenges and Opportunities

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In this talk, I will introduce the work we are doing at the University of Colorado Denver on information extraction of biological events from the biomedical literature. I will discuss the challenges of working on text in this domain, as well as the opportunities and advantages—in the form of community-generated ontologies and other knowledge resources—that we have available to us. I will introduce the notion of “3R”—“Reading, Reasoning, and Reporting”— computational tools supporting biomedical discovery, and discuss the role that text mining plays. Our current manifestation of this concept is the Hanalyzer, an open-source data integration system designed to help biologists explain results observed in genome-scale experiments and to generate new hypotheses. Hanalyzer combines information extraction techniques, semantic data integration, and reasoning and facilitates network visualization.

This talk is part of the NLIP Seminar Series series.

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