Academic chemistry researchers are increasingly expected to conduct and document risk assessments as part of experimental planning and reporting. However, information concerning laboratory scale chemical reactivity hazards can be difficult to parse despite ongoing efforts to compile from reported incidents. Laboratory procedures do not always directly flag possible incompatibilities among constituents or other process factors such as pressure and temperature. <br/><br/>Lightweight semantics supported by Ontology Design Patterns (ODPs) can be applied to study patterns among the multiple factors involved in laboratory procedures. These factors include chemical properties, states, conditions, actions, and associated hazard classifications. Building on conceptual models developed at VoCamp, this study focuses on modularization and interconnection of several novel ODPs to identify potential hazards in experimental protocols. This presentation will argue that this approach can be more flexible working across a diversity of data types and desired queries than a comprehensive hazard model or comprehensive chemical domain ontology.

Ontology design patterns for laboratory chemical process hazards

256th National Meeting (2018)

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