Abstract
Knowledge graphs can play an important role to store and provide access to global knowledge, common and accessible to both human and artificial agents, and store local knowledge of individual agents in a larger network of agents. Studying
suitable formalisms to model complex, conflicting, dynamic and contextualised knowledge is still a big challenge. Therefore, we investigate the usage of knowledge representation formalisms that allows artificial intelligence systems to adapt and work with complex, conflicting, dynamic and contextualized knowledge.
suitable formalisms to model complex, conflicting, dynamic and contextualised knowledge is still a big challenge. Therefore, we investigate the usage of knowledge representation formalisms that allows artificial intelligence systems to adapt and work with complex, conflicting, dynamic and contextualized knowledge.
Original language | English |
---|---|
Pages | 22-25 |
Number of pages | 4 |
Publication status | Published - 2021 |
Event | 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021 - Virtual, Online Duration: 3 Nov 2021 → 12 Nov 2021 |
Conference
Conference | 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021 |
---|---|
City | Virtual, Online |
Period | 3/11/21 → 12/11/21 |
Keywords
- Knowledge Graph
- Argumentation