Graph Data - skrusche63/OASIS-ebXML-RegRep-v4.0 GitHub Wiki

In today's world of data and information, especially in the world wide web, everything is about relations. Data do no longer stand for their own: They must be annotated with additional metadata and / or associated with other data to describe a certain context sensitive piece of information.

The degree of data interconnection may be described by a data maturity model, which indicates the importance of data for a certain organization:

1. The first level is represented by raw data produced by human sources and / or automated and controlled sensors.
2. The second level describes data that are derived from raw data due to analysis, assessment or fusion processes.
3. The third level is derived from the second level because of (larger) aggregation and cross-referencing of data.
4. The fourth level represents planning and decision ready data, annotated with context sensitive data and interconnected with data e.g. from historical sources.

The data maturity model introduced above, shows, that increasing importance of data is always related with an increasing amount of connections to other data.

The concept of data graphs dates back to the introduction of the Resource Description Framework (RDF), one of the building blocks of the semantic web.