Linked data

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Related lectures (8)

Explores the concept of Knowledge Graphs and their role in data integration and semantic understanding, showcasing real-world examples and applications.

Semantic Web & Information Extraction

Explores Semantic Web, ontologies, information extraction, key phrases, named entities, and knowledge bases.

Semantic Web Resources

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

Semantic Web: Ontologies and RDF Modeling

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

Vector Calculus: Divergence and Notation

Explores divergence in vector fields, Laplacian notation, and proof for scalar and vector Laplacians.

Big Data: Challenges and Implications

Explores the challenges and implications of Big Data, emphasizing the importance of data quality and ethical considerations.

Big Data Ecosystems: Technologies and Challenges

Covers the fundamentals of big data ecosystems, focusing on technologies, challenges, and practical exercises with Hadoop's HDFS.

In Silico Neuroscience: Data Reproducibility and Reusability

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

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