Applying Standards to Information Centric Operations
5 ADDITIONAL OBSERVATIONS
5.1 FORM VERSUS CONTENT
In both ExxonMobil and Nextspace , if we consider both the model and the model content , that content has a life independent of the tools in which it is presented .
This is true information-centricity . By decoupling the data from the application , the organization is able to manage the data as a resource in its own right . Data is an asset , with its own lifecycle management covering data provenance , data ownership and data quality measures such as timeliness , accuracy and completeness .
When maintained as an asset in its own right , data outlives individual applications . Data may be updated and ingested by different applications at different points in the data lifecycle and these applications may be updated or replaced , while the data continues to evolve at its own pace .
Segregating data from applications not only enables improved user experiences and data management but also opens the way to smoother incorporation of artificial intelligence applications .
5.2 ARTIFICIAL INTELLIGENCE
The potential of Artificial Intelligence ( AI ) is enhanced by the provision of an information-centric set of data assets , both for symbolic and generative classes of AI . Generative AI such as LLMs can be trained on user data that is in a common format , while symbolic AI may be supported directly by formal ontologies . We are already seeing a range of ways emerging in which LLMs and ontologies can be used together , for example the Fall 2023 season of the 2024 Ontology Summit [ 11 ].
5.3 SEMANTICS , DATA AND PRESENTATION
Larger institutions are already seeing the benefits of using formal ontologies along with enterprise knowledge graphs to provide a data-centric ecosystem . The next phase in truly information-centric working requires the separation of concerns between the data and its presentation . These kinds of implementation are already emerging in the area of industrial digital twins . Future developments may take things beyond that to something more ubiquitous , moving towards a more inclusive metaverse .
Data centric implementation along with visualization points to a three-way separation between semantics , data and presentation , as shown in Figure 5-1 .
Journal of Innovation 23