Learn knowledge graph together. Notion Page: coming soon
| CS520: Spring2020 Knowledge Graph | https://web.stanford.edu/class/cs520/ |
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Knowledge graphs have emerged as a compelling abstraction for organizing world's structured knowledge over the internet, capturing relationships among key entities of interest to enterprises, and a way to integrate information extracted from multiple data sources. Knowledge graphs have also started to play a central role in machine learning and natural language processing as a method to incorporate world knowledge, as a target knowledge representation for extracted knowledge, and for explaining what is being learned. This class is a graduate level research seminar and will include lectures on knowledge graph topics (e.g., data models, creation, inference, access) and invited lectures from prominent researchers and industry practitioners. The seminar emphasizes synthesis of AI, database systems and HCI in creating integrated intelligent systems centered around knowledge graphs. |
| Organizers: Vinay K. Chaudhri; Naren Chittar; Michael Genesereth | Invited Speakers |
- What is a knowledge graph
- W1. What is a Knowledge Graph?
- W2. What are some Knowledge Graph data models?
- How to create a knowledge graph
- W3. How to design the schema of a Knowledge Graph? (create a Knowledge Graph)
- W4. How to create a Knowledge Graph from Data
- W5. How to create a Knowledge Graph from Unstructured Input?
- How to reason with and access knowledge graphs
- W6. What are some inference algorithms for Knowledge Graphs?
- W7. How do users interact with a Knowledge Graph?
- W8. How to evolve a Knowledge Graph?
- Applications
- W9. What are some high value use cases of Knowledge Graphs?
- W10. What are some implementation tools for Knowledge Graphs? What are some research issues in Knowledge Graphs?
- Preview: Scan Notes/slides
- Lecture: understand, not record/rememorize
- Review: review official notes, especially formulas
- Assignment: do homework
- Takeaways: record progress - key points
- Application/Practice: project
- Insights: further questioning and exploration, additional readings
The notes are annotated to speed up scanning and facilitate understanding.
| Text | Color |
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| Methodology | pine green |
| Purpose | violet |
| Component | Caramel |
| Concept/Entities | lapis |
| Features | magenta |
Example:
| Original | Annotated |
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Mindmapping.