At the core of Prometheux is an ontology: the set of business rules that define how the entities in your system relate to each other, and how those entities connect to your real data. These rules are written in Vadalog.

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Knowledge graphs and ontologies

A knowledge graph is a graph in which the entities in your business (for example Users, Companies, Wallets) are connected to other entities via relationships. For instance, user “Alice” “works at” the company “Acme Corp”, and “Alice” has a “Wallet” for storing currency. Using a knowledge graph, you can answer questions by traversing relationships — for example, finding how much currency “Acme Corp” holds by summing the wallets of every user who works there. Knowledge graphs are typically stored as triples — (Entity A, Relationship, Entity B). Prometheux does not force you to model your data this way, letting you express relationships that involve multiple properties and entities.

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Binding entities to data

Your ontology also describes which data sources power the entities in your ruleset. In Vadalog, specific annotations bind your rules to your data.

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Reasoning over the ontology

By processing the rules and data in your ontology, Prometheux deduces new facts and outcomes. This processing is called reasoning. The steps Prometheux takes to reach an answer form a Chase Graph — itself a knowledge graph of the rules and data that contributed to each result, which can be explored and analysed.

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