Knowledge graphs is more important than ML/DL, Knowledge graphs give AI the context it needs.
For Artificial Intelligence to make its intelligent decisions, it is necessary to emulate ‘context’. It must be possible to represent the relationships, complexity and, most importantly, the meaning of data in such a way that the AI’s seemingly intelligent conclusions and decision are sensible in the real-world. Within Ontotext’s GraphDB, knowledge graphs represent data and the meaning of that data. This is how information is transformed into the ‘knowledge’ in knowledge graphs. GraphDB’s use of Linked Data captures the relationships between the data, which is the ‘graph’ part. This representation of data’s semantics and its relationships create a contextual understanding that is used by AI to make those seemingly intelligence decisions.
Knowledge graphs is more important than ML/DL, Knowledge graphs give AI the context it needs.
References: