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Michelle Angrish

OpenTox Virtual Conference 2021 Session 15 Summary 

Semantic Interoperability in Data Annotation and Migration

Update of the information is limited by manual finding, uploading, and migration of information between various databases and tools. This is a particular challenge when keeping influential materials updated with the latest relevant research as efforts are currently manual, time-consuming, and labor-intensive. Further, finding information is a challenge because (assuming the information exists) one must 1) know what to look for, 2) know where and how to find it, 3) have the resources to screen and curate that information, and 4) resources to make that information accessible and usable. The use of text-mining, text analytics, natural language processing, and machine learning models reduce manual effort, whereas semantic interoperability is key to rapidly connecting existing and new data. In this session, participants will learn how semantics are used to 1) enhance data interoperability within a database, 2) connect data across different data streams/test methods, and 3) increase the efficiency of data annotation tools.

CV: Michelle Angrish is a toxicologist with the US Environmental Protection Agency Office of Research and Development Chemical Pollutant Assessment Division. In her role with EPA, she develops a range of fit-for-purpose human health risk assessment products based on the evaluation, synthesis, and analysis of the most up-to-date scientific information. Michelle is also engaged in research efforts including automation of systematic methods and tools, ontologies, and the advancement of methods that increase the efficiency of AOP development.