AI models

Knowledge Graph
Create ontologies, entity recognition models using NLP and ML algorithms with custom built knowledge infused learning models. Represent knowledge using KG embedding to predict information, create recommender systems, question answering and query expansion.
Applications
Create Ontologies

Creating generalised semantic data models using a collection of entities and their interactions  to identify interconnected concepts and new relationships among data, with increased quality of entity analysis and maintainability of large data.

Identify patterns

Analyse situational knowledge by identifying patterns on the knowledge graph. Utilize graph patterns to solve problems and predict facts with permutations and combinations using graph pattern entity ranking model by identifying relevant data leading to meaningful answers without any prior knowledge of the underlying graph.

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