Data, Knowledge and Web Engineering

Computer Science

1. User 100%
2. Query Processing 60%
3. Standards 37%
4. Semantic Web 36%
5. Ontology 33%
6. Analytics 24%
7. Query Execution 22%
8. Algorithms 18%
9. Linked Data 18%
10. Query Engine 17%
11. Language Modeling 17%
12. Open Data 17%
13. Data Source 17%
14. Online Analytical Processing 16%
15. Use Case 15%
16. Computation 15%
17. Research Direction 14%
18. Knowledge Base 14%
19. Machine Learning 13%
20. Structured Query Language 13%
21. Data Warehouse 13%
22. Annotation 13%
23. Provider Data 13%
24. Statistics 12%
25. Computing 12%
26. Execution Plan 12%
27. Semantic Web Technology 11%
28. Heuristics 11%
29. Data Cube 10%
30. Response Time 10%
31. Recommender Systems 10%
32. Current-State 10%
33. Vocabulary 9%
34. Data Type 9%
35. Natural Languages 9%
36. Archiving 9%
37. Execution Time 9%
38. Graph Neural Network 9%
39. Artificial Intelligence 8%
40. Relationships 8%
41. Sensitive Informations 8%
42. Transformations 7%
43. Life Cycle Sustainability 7%
44. Citation Data 7%
45. Temporal Data 7%
46. Hybrid System 7%
47. Query Rewriting 7%
48. Information Access 7%
49. World Wide Web Search 7%
50. Materialized View 7%
51. Constraint Language 7%
52. Network Traffic 7%
53. Query Optimization 7%
54. Detection 6%
55. Multidimensional Data 6%
56. Natural Language Processing 6%
57. Links 6%
58. Machine Translation 6%
59. Bidirectional Encoder Representations From Transformers 6%
60. Data Sharing 6%
61. Survey 6%
62. Roles 5%
63. Deep Learning Model 5%
64. Data Structure 5%
65. Big Data 5%
66. Widespread Adoption 5%
67. Assessment Report 5%
68. Large Language Model 5%
69. Large Data Set 5%
70. Transfer Learning 5%
71. Baseline Approach 5%
72. Data Integration 5%