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Knowledge Graph

A Knowledge Graph course explores how structured data can be represented as interconnected entities and relationships to enable intelligent data integration, retrieval, and reasoning.

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Course Detail

The course covers key concepts from the Semantic Web, including RDF, ontologies, and graph-based models, along with practical skills in building, querying, and managing knowledge graphs.

Course Features

  • Ontology-Driven Modeling
  • Data Integration Techniques
  • Data Quality Awareness
  • Data Quality Awareness

Chakir Mahjoubi

Instructor in Marketing

Chakir Mahjoubi is a language technology expert specializing in artificial intelligence and computational linguistics.

  • 20 hours on-demand video
  • Full Lifetime Access
  • Access on Mobile and TV
  • Certificate of Completion

Course Content

11 sections • 28 lecture • 19h 33m total length

Introduces the concept of knowledge graphs as structured representations of entities and their relationships. Highlights their importance in organizing data and powering applications like search and recommendation systems.

Teaches how to model real-world domains using ontologies and structured schemas. Includes working with standards like RDF and OWL for defining knowledge representation.

Covers techniques for combining data from multiple heterogeneous sources. Emphasizes entity resolution and linking to create unified knowledge graphs

Explains the principles of the Semantic Web for enabling machine-readable data on the web.
Covers core standards like RDF and linked data for connecting and sharing information..

Introduces methods for representing real-world information using graph-based structures. Covers logical representation and reasoning techniques to infer new knowledge from existing data.

Teaches how to retrieve and manipulate graph data using query languages such as SPARQL. Focuses on extracting meaningful insights and optimizing queries for performance and accuracy.

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  • I’ve learned so much from this platform—clear explanations, real‑world exercises, and expert instructors make mastering NLP, data, and linguistics both fun and rewarding..
    John Karim
    Designer
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