This demo shows how a spreadsheet gets transformed into a graph through a simple example. The content of each cell is transformed into a node, or a set of nodes in the graph. Nodes get connected to other nodes originating from the same row through relationships whose semantics derive from the column headers and are custom-defined in a mapping model. If two cells have a content that is identical, they become the same node, unless special rules are set to prevent it from happening. Redundancies are removed from the graph. Different values can be assigned to the same node.

Note. Similar functionalities are available while importing from databases, CSV files, XML, Web pages, full text, as well as any structured format, using a similar approach that is customized on demand. Extraction of topics into the knowledge graphs from unstructured content can be done by adding third-party software components.

The Networker provides an editorial interface enabling manual curation of the knowledge graph. It contains features that have been designed to be easy to use, without any required training in any of the underlying technology. The graphic represents just a snapshot of a fragment of a topic page.

This video illustrates some of the features of the Networker interface:

Customized exports are available in several formats including JSON, XML, HTML, SQL, Property Graph, RDF, CSV, XLSX.