Ontotext’s CTO, Vassil Momtchev explains the concept of semantic similarity as a tool for efficient entity clustering and matching based on graph and text embeddings at Connected Data London 2019.
Ontotext’s CTO, Vassil Momtchev explains the concept of semantic similarity as a tool for efficient entity clustering and matching based on graph and text embeddings. He demonstrates the underlying scalable and easy to understand algorithm of Random Indexing at Connected Data London 2019.
The talk was presented at Connected Data London 2019.
The Ontotext Recommendations engine combines content and its semantic fingerprint to retrieve knowledge graph-driven recommendations. It is integrated with the Ontotext Metadata Studio tagging to power meaningful recommendations based on both semantic relevancy and recency.
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