OntoEm: Semantic Embedding for Ontologies

Computer Science

1. Pre-Trained Language Models 100%
2. Ontology 50%
3. Semantic Embedding 50%
4. Investigator 50%
5. Detection Method 50%
6. Knowledge Graph 50%
7. Matching Approach 50%
8. Matching Strategy 50%
9. Experimental Result 50%
10. Table Semantics 50%
11. Primary Subject 50%
12. Adversarial Machine Learning 50%
13. Closed World Assumption 50%
14. Knowledge Graph Embedding 50%
15. Contextual Information 50%
16. Embedding Method 37%
17. Task Completion 32%
18. Link Prediction 31%
19. Subgraphs 25%
20. Prediction Time 25%
21. Evaluation Metric 25%
22. Open World Assumption 25%
23. Textual Information 7%
24. Bidirectional Encoder Representations From Transformers 7%
25. Graph Representation 7%
26. Text Information 7%
27. Knowledge Structure 7%
28. Attack Strategy 6%
29. Attackers 6%
30. Graph Neural Network 6%
31. Systematic Analysis 6%