Applying Standards to Information Centric Operations
integration and as a means to seed a more enterprise-wide graph of reusable data in a common , application-neutral format , known as a knowledge graph 30 .
Standards present a mutual benefit arrangement , a resolution of the tragedy of the commons 31 , whereby entities can benefit by collective action in ways which could disadvantage each if carried out in isolation . By participating in standards development , organizations can gain commercial benefit , both from the efficiencies of more consistent interactions between data , visualizations and semantics , and in the new business opportunities that would emerge from a more information centric way of working .
The next steps in standards use for the metaverse and digital twins will speed the adoption and interoperability of 3D asset data and digital engineering , digital threads , extended reality and data visualization . We may see these initially in smart cities , energy and oil and gas . With standards driven by these industries , we should expect to see further benefits from applying these same standards in other industries .
7 CONCLUSIONS
For industry and consumers to move towards information-centric working , standards will be needed at several levels , ranging from standardizing how real-world concepts are modeled in ontologies , through to standards for shared data spaces such as the International Data Spaces initiative 32 and the European Gaia-X project 33 . A more complete inversion of data and applications will also require standards connecting data visualization techniques and datasets .
These standards will need broad participation by industry and academia , with benefits accruing to industry such as having greater trust in data and enabling a marketplace of applications and data visualizations within an institution-wide graph of knowledge , offering flexibility and resilience to end users .
With standards-enabled architectures in place , firms will gain greater value from existing data assets , be resilient against data loss and quality issues , implement FAIR principles and provide provable , responsible deployments of generative AI based solutions , deploying a common sea of knowledge across the enterprise .
30
See for example the Enterprise Knowledge Graph Forum ( an OMG Managed Community ). Available : https :// www . ekgf . org /
31
The notion of the Tragedy of the Commons was introduced by Garret Hardin [ 13 ] in the context of shared resources , but the principle whereby groups can act for mutual benefit in ways which would not benefit them if they acted alone has broader applicability , for example in industry regulation , standards , security and so on .
32 https :// internationaldataspaces . org /
33 https :// gaia-x . eu / Journal of Innovation 27