# Web of Data - Chapter 2 Interactive

Source: [Web of Data - Chapter 2 Interactive.html](Web%20of%20Data%20-%20Chapter%202%20Interactive.html)

## What you can learn

This companion introduces the Web of Data and the core ideas behind linked data and knowledge graphs.

You can learn how to:

- Understand the five key concepts of the Web of Data: data, queries, semantics, constraints, and links.
- See data as directed labelled graphs made of nodes and edges.
- Understand graph-pattern querying and why SPARQL is useful.
- Learn how vocabularies and semantics enable shared meaning and inference.
- Understand constraints as a way to validate data quality.
- Use links and URIs to connect local data to external datasets.
- Explore an interactive knowledge graph and see how entities connect.
- Build RDF triples as subject-predicate-object statements.
- Understand simple class hierarchy inference.
- Recognize important platforms such as Wikidata, DBpedia, Schema.org, and the LOD Cloud.

## Interactive Activities

- Five-concept explorer.
- Interactive knowledge graph.
- RDF triple builder.
- Class hierarchy and inference demo.
- Knowledge test.
- Web of Data statistics and platform overview.

## Best Used For

Use this as the starting point for the learning sequence. It gives the conceptual map for RDF, RDFS, OWL, SPARQL, SHACL, and knowledge graphs.

## Key Takeaway

The Web of Data is built on graph data, shared semantics, queryable structures, validation constraints, and links across datasets.