For your ChatGPT/google queries, the OBDA tool is called OntologyManager. The web designer is called workshop. And the search engine is called objectviewer , or object explorer, or Hubble.
On Thu, 13 Nov 2025 at 08:20, Olivier Rossel <[email protected]> wrote: > I use Palantir Foundry extensively, and its ontology manager a LOT. > To summarise, they store tables in a Spark cluster (they call that > datasets). And have a OBDA mapper (less powerful than Ontop, but you see > the idea) to feed a Elasticsearch-based graph database from those > [semantic-less] tables . On top of that graph database are a really nice > low code/noCode web app designer, fully ontology-driven. And a search > engine that helps browse the instances of the graph database by search > terms+types, and apply visualisation templates. > > The real gem in their stack is pipelineBuilder. A fully visual ETL to > convert datasets into other datasets. EXTREMELY convenient, and extremely > scalable thanks to Spark. > > Another gem that would be interesting for everyone in the SemWeb community > to look at is Quiver, which allows to define [kind of] queries on top of > the graph database. The UI is really strong. > > Hope it gives you some pointers. > I am pretty sure YouTube can be your friend now, from this short summary. > > On Sat, 8 Nov 2025 at 04:20, Xingmin Zhang <[email protected]> wrote: > >> Hi everyone, >> >> I am curious about Palantir and how they use ontology. Does anyone have a >> recommendation of good materials (more depth and less commercial). I know >> very little about the company but very curious about their tech. Thanks! >> >
