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 ...

The study details a comprehensive process for constructing a knowledge graph to optimize the spatial arrangement of underground powerhouses. It begins with designing an ontology skeleton to ...

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% ...