Metadata Ontologies and Brain Atlases

Related lectures (32)

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Covers the creation and encoding of ontologies, modeling RDF statements, syntax, and classification.

Explores popular ontologies and knowledge bases like WordNet, WikiData, Google Knowledge Graph, and Schema.org, as well as Linked Open Data sets.

Explores the Semantic Web, database schemas, XML data model, and ontologies.

Emphasizes data reproducibility and reusability in in silico neuroscience, focusing on neuroinformatics tools and methods.

Explores Semantic Web concepts, RDF syntax, and knowledge representation using RDF statements and Schema.org.

Explores neuroscience data analysis, emphasizing structured data, computational tools, and the trend of computational neuroscience as a service.

Covers ontology as a knowledge repository with agreed-upon meanings, evolution, continuous updating, and smart ontology design.

Explores Circular Lifecycle Management, Zero Defect Manufacturing, Big Data Analytics, and Predictive Maintenance in industrial processes.

Explores the role of ontologies in neuroscience, focusing on organizing data and defining entity properties.

Explores Closed-Loop Lifecycle Management, Circular Economy, and Zero Defect Manufacturing strategies for sustainable development.