The Networker is built around a generic internal data model that makes it directly operational in most usages, without the need for further configuration.
As an IT professional you will be able to import and export data through either built-in or customized scripts. Data interchange occurs via a RESTful API, and you will be able to tailor the input and output according to your needs. User interfaces exist to help you configure the import and export from RDF data, and others can be created according to your needs.
As a data engineer, you won’t need to define a data model or an ontology before starting to use the Networker. The Networker provides you with a flexible graph model in which every data point becomes a node, interrelated with others. Metadata is data.
The Networker can be either used as a standalone platform, or integrated as middleware within the set of existing technologies in use.
Middleware
The Networker can be chained into the existing stack of technology.
It is based on a RESTful architecture and therefore accepts a whole variety of data formats as input or output.
It can be used to manually curate the result of automatic processes performed by AI/ML algorithms.
Standalone
The Networker can also be used as a lightweight, standalone application that can boost the productivity of small teams or individual users.