Extract knowledge points from slides.
Design the initial 5 tier hierachy structure for knowledge in slides.
Build the KG Demo by csv importing
- NEO4J was used to visualize test data, MERGE operation has been well studied.
- Level search for the candidate test data.
- Py2neo has been studied but be discarded due to its buggy design for merge operations. Alternatively, saving the data to CSV file and loading CSV by CQL is quite acceptable.
- Build groundtruth graph for test ppt
- Make trials on similarity based and local based building strategies.
Long time without managing my code. I am sure that the project is usable, but I can't guarantee whether I had made any changes that could fail to the test because I haven't tested it yet. I push this version just for others' potential interest and reference.