PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips thumbnail
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

Published on Jun 17, 202483 Views

Knowledge graphs (KGs) have emerged as a prominent data representation and management paradigm. Being usually underpinned by a schema (e.g., an ontology), KGs capture not only factual information but

Related categories

Chapter list

PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips00:00
Benchmark datasets00:14
Data-sensitive areas01:00
Related work - 101:48
Related work - 202:03
PyGraft03:01
PyGraft description03:34
Overview03:38
User-defined parameters04:38
PyGraft in action05:14
Usage illustration: configuration file05:33
Usage illustration: commands - 106:03
Usage illustration: commands - 206:14
Usage illustration: toy example06:25
Efficiency and scalability - 107:01
Efficiency and scalability - 208:42
Execution time breakdown for each configuration08:49
Discussion09:36
Potential uses09:38
Limitations11:02
Future work11:59
Conclusion12:45
Take-home messages12:46
Thank you for your attention!13:17