To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems.

Understanding potential pitfalls—and how to overcome them—can help organizations maximize the value of this technology.

They require a fully structured knowledge graph, where facts, entities, and relationships are organized into a formal ontology. Knowledge graphs not only store factual information but also capture ...

Generate knowledge graph from a valid dataset, train TransE, TransH, Rescal, HoLE knowledge graph embedding algorithms, and produce plots and results. echo "Starting setup." mkdir ~/Desktop/ad_kge cd ...

There are a few main components necessary to build and use a KGQA system. The first element is the knowledge graph (KG) itself, which consists of an ontology and underlying data (literals), also known ...

Easy Answers™ decision-making application provides an astonishing 99.8% accuracy with ontology enrichment SAN RAMON, CA / ...

The ontology for facts and information about Africa and all the countries it contains over a knowledge graph. A sample of a knowledge graph can be queried here! This ontology is continuously updated ...

By incorporating advanced ontology and knowledge graph enrichment, App Orchid's enterprise text-to-SQL translation accuracy soared to 99.8%. This surpasses the previous benchmark of 91.2% ...