Query knowledge graphs in natural or controlled natural language with FactEngine.
A typical Natural Language query looks like:
Show me people that provided a nasal swab at a visit occurrence with Kathy Snelling at Cairns Hospital on 2nd September 2020 with a visit detail for a condition occurrence of the condition, Covid-19. Include the note taken at the visit occurrence.
A typical FactEngine Query Language (FEQL) query looks like the below:
NB FEQL queries can be written directly or converted from natural language.
The documentation for FactEngine can be found at: FactEngine Documentation
The list of databases supported by FactEngine is at: FactEngine Databases
FactEngine is part of the Boston software. Choose one of the Boston products to purchase FactEngine.
Watch the video below to see FactEngine in action:
Schema-Aware Semantic Search with FactEngine
Need Natural Language Queries converted to FactEngine Query Language (FEQL)?
More on FactEngine
Embrace Relational Knowledge Graphs
All databases can be viewed as if a graph database or a relational database. Keep your existing database infrastructure and enjoy the best of both words with FactEngine and Boston.