Machine Learning and Knowledge Graphs: Existing Gaps and Future Research Challenges
The graph model is nowadays largely adopted to model a wide range of knowledge and data, spanning from social networks to knowledge graphs (KGs), representing a successful paradigm of how symbolic and transparent AI can scale on the World Wide Web. However, due to their unprecedented volume, they ar...
| Published in: | Transactions on Graph Data and Knowledge |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
2023-12-01
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| Subjects: | |
| Online Access: | https://drops.dagstuhl.de/storage/08tgdk/tgdk-vol001/tgdk-vol001-issue001/TGDK.1.1.8/TGDK.1.1.8.pdf |