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AFRL: Enabling Semantic Discovery in a Data Lake Context

Jul 15, 2020

Integrating data is more than putting it together in one place, and many organizations struggle to fully achieve “FAIR” principles for their data – making it Findable, Accessible, Interoperable, and Reusable. The Air Force Research Laboratory (AFRL) has created a software platform called HyperThought™ that goes beyond the traditional features found in many Laboratory Information Management Systems (LIMS).

HyperThought™ is powered by MarkLogic and allows end-users to create formal data structures and schemas for both concept definition (a mechanical test, for example) and provenance definition (“Sample X was characterized using EBSD”). These structures and schemas are community-curated and rely on many existing standards (RDF, OWL, QUDT, Prov-O, and others) to ensure consistency and quality as the vocabularies and taxonomies take shape. The result of these activities is data and process definition (including schemas) that fully comply with FAIR principles. This presentation shows the benefits of this approach by examining use cases in Additive Manufacturing, Machining, and Microscopy.

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