Organisations are socio-technical ecosystems that rely on data to make decisions.

GXP will provide an experience and knowledge ecosystem for organisations; it will enhance decision making and make AI and human collaboration possible. This will be done by allowing organisations to gradually grow into an organisational ontology, with the pace defined by the focus of the organisation.

GXP data platform will provide a source of truth for all organisational information that is used for decision making. This will enable organisations to measure their knowledge depth efficiently, and this will provide an effective method for driving knowledge discovery.

The following pages are focused on providing modelling concepts that will be a foundation of knowledge within an enterprise.

Why do we need to model

Provide an initial cognitive structure that can be used as an information scaffold when transforming knowledge to information. The model provides a method for sharing knowledge and the ability to test the quality of knowledge.

Enterprise Ontology Model

At its core, GXP will leverage an enterprise ontology model as a mechanism that will be a foundation of knowledge integration. Having a unified ontology for an enterprise will enable data persistence into a common language, enabling AI-assisted assistance and decision making. Additionally, the enterprise ontology model will also provide consistency of modelling across enterprises.

Definitions

  • Terms - definition of terms used.
  • Measurement - how do we measure things.
  • Questions - list of questions that would need to be answered by the model.
  • Viewpoints - frameworks for viewpoints to present information in the model.

Table of Contents

Updating

See Diagrams Overview for instructions how to update and add diagrams.

Updated:

Leave a Comment