Advanced Topic 40 of 51 Emerging & Frontier Topics
Knowledge Graphs
Networks of entities and relations.
How it works
Graphs of entities and typed relations (triples: subject, predicate, object) store facts for queries (SPARQL) and reasoning; Google's Knowledge Graph and Wikidata are examples.
Where it is used
Search answers, enterprise data integration.
Common pitfall
Quality and completeness require continual curation.
Where it fits in the course
Knowledge Graphs is topic 40 of 51 in Emerging & Frontier Topics, rated Advanced. It follows Computational Linguistics. The next topic is Ontologies and Semantic Web.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Emerging & Frontier Topics quiz.
- Explore the Graph Traversal visualizer: BFS, DFS and Dijkstra on a weighted graph.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Emerging & Frontier Topics quiz, and revisit the topic if you miss a question.
Frequently asked questions
What is Knowledge Graphs?
Networks of entities and relations. It belongs to Emerging & Frontier Topics and is an advanced-level topic.
Where do people use Knowledge Graphs?
Search answers, enterprise data integration.
What is the most common mistake with Knowledge Graphs?
Quality and completeness require continual curation.
What should I learn before this topic?
Start with Computational Linguistics, the topic just before it in Emerging & Frontier Topics.
How can I practice it?
Answer the mini quiz in the interactive lesson, then take the Emerging & Frontier Topics quiz. You can also explore Graph Traversal in the Visual Lab.
Is Knowledge Graphs hard to learn?
It is an Advanced topic. Expect to read the explanation more than once and to connect it with earlier topics. Working through a small example by hand helps most.
How long does it take to learn Knowledge Graphs?
Most learners can read the explanation and finish the interactive lesson in under an hour. Fluency comes from applying the idea, so plan a few short practice sessions with the quiz.
Which topics are related to Knowledge Graphs?
Computational Linguistics, Ontologies and Semantic Web, Computational Geometry are closely connected. The full list is in the related topics section of this page.
What should I study after Knowledge Graphs?
Continue with Ontologies and Semantic Web, the next topic in Emerging & Frontier Topics.
Related topics
- Computational Linguistics (Emerging & Frontier Topics)
- Ontologies and Semantic Web (Emerging & Frontier Topics)
- Computational Geometry (Emerging & Frontier Topics)
- Expert Systems (Emerging & Frontier Topics)
- Functions and Graphs (Math for Computing)
- Graphs (Data Structures)
- Control Flow Graphs (Languages & Compilers)