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Welcome to project Math KG Wiki Page

• Developers: Litong Xiao @litong-x, Wenchang Liu @williamlwclwc , Tianyi Hu @H0radricCube
• To see our development details, please visit our confluence page at confluence KG update

Content

1. Project Structure
2. Front-End
3. Back-End
4. Databases
5. Deployment

What we have done?

• A dataset of math has been collected.
• A dataset of 239 entities including junior middle school math concepts and algorithms has been collected. Senior middle school algebra is involved a little bit.
• Some descriptions and formula about the entities has been extracted in wiki to enrich our content.
• The relationships between the entities are manually defined, see relationship page. Totally 277 edges has been defined.
• Both entities and relationships has been stored in mongoDB.
• We built a webapp to represent this knowledge graph using python back-end framework flask and echarts.
• We apply Force-directed Algorithm embedded in echarts to represent our mathKG
• Repulsion and gravity parameters are adjusted for a better clustering result, trying to approximate what Force-Atlas 2 in gephi can demonstrate.
• To make the mathKG more explorable, we developed several features:
  • graph information and content demonstration
  • basic interactions with the graph: add, delete, edit, search
  • take notes
  • multi-user support: login system prototype
  • latex support

What's next?

• Layout: 2D -> 3D
• Make algorithms connected
• Allow auto growing
  • use crawler to fetch more data
  • either form Unstructured or Structured data source
• DataBases
  • connect mongoDB to store graph data and user data
• A graph merge solution
• Refactor and increase code quality