Enterprise Knowledge Graph Forum (EKGF)

The immediate challenge for organisations is consolidating and connecting their data, enabling them to build AI systems tailored to their unique needs and semantics. While this may seem daunting, as Lao Tzu said, "A journey of a thousand miles begins with a single step." The first step on this particular journey is the new DPROD specification—a straightforward, semantic approach to defining data products. Many organisations are reorganising their data around data products, and the most advanced are connecting their data with knowledge graphs for use with Gen AI. These efforts should not be separate endeavours; the real value lies in bridging them. This is where DPROD comes in. It is a freely available semantic ontology that defines data products, serving as both a specification and a first small step in creating a Distributed Knowledge Graph. Here’s an example of a fictional UK Bonds data product: { ???"@context": "https://lnkd.in/epwdgBtD", ???"id": "y.com/products/uk-bonds", ???"type": "DataProduct", ???"title": "UK Bonds", ???"dataProductOwner": "linkedin.com/in/tonyseale/", ???"outputPort": { ??????"type": "DataService", ???????"id": " y.com/uk-10-year-bonds", ???????"endpointURL": "y.com/uk-10-year-bonds", ???????"isAccessServiceOf": { ?????????"type": "Distribution", ?????????"format": "https://lnkd.in/epxCH697", ?????????"isDistributionOf": { ????????????"type": "Dataset", ?????????????"id": " y.com/ds/uk-10-year-bonds", ?????????????"conformsTo": "https://lnkd.in/e9bxa4Fc" ?????????} ??????} ???} } ?? Points to Note: ??Simple to Implement: Define your data product in plain JSON. ??Shared Schemas: Each product connects to a shared schema using the @context property. ??Linkable: Data products have unique URLs, enabling interconnection in a distributed graph. ??Semantics: The conformsTo property links data products to powerful semantic ontologies, enabling LLMs to understand what these data products represent. ??Open Standards: DPROD will be an open standard built on established frameworks like RDF and DCAT. ?? Tried, Tested and Open We’ve tested DPROD for over a year with large enterprises and gathered feedback from vendors and experts. It has been developed at the EKGF with the support of EDM Council members and is now open for public review and comment at the OMG. ?? The Time to Act is Now! This challenge isn’t just technical—it’s organisational. The question is: can your teams agree on the shared semantics that will allow you to consolidate and connect your data products? DPROD is a practical first step towards answering this question. I encourage you to test DPROD within your organisation, provide feedback, and see if it helps unify your data. DPROD is more than a specification—it’s the first step towards an architecture that prepares your data for AI. ?? DPROD Specification: https://lnkd.in/ed9jAzGF ? How to Article: https://lnkd.in/eScj_nfg ? OMG RFC: https://lnkd.in/ee2qvBRp

Please indulge me in claiming some success. As co-chair of the Enterprise Knowledge Graph Forum (EKGF), I started the Data Product Workgroup about a year ago and asked Tony Seale to chair it. We then invited dozens of experts from various companies to participate in developing a "Data Product Ontology" (DPROD, see https://lnkd.in/edxfmJ7D). In any pan-enterprise Data Economy, you want the supply side of your data economy to be defined in terms of "Data Products," right? One year later, we delivered a proposal to the OMG --- The EKGF has been part of the OMG since early this year, and it got accepted this month by the voting OMG members as a proposed standard. In December, it may go to the next level as a beta standard and eventually become an actual standard. We have invited many industry reviewers to chip in, but the OMG will now do the next round of industry reviews. I cannot possibly mention everyone right here, but I would like to thank everyone for their hard (volunteer !!!) work, especially Tony Seale, Natasa Varytimou, Oli Bage, Andrea Gioia, Marcel Fr?hlich, Pete Rivett, carl mattocks, Carlos Tubbax, Ben Clinch, Steve Fisher, Matthias Autrata, Peter Winstanley, Charles Ivie, Ben Whittam Smith, Marcelo B., Rocky Creel and Elisa Kendall and we welcome new members like Michael Pool and Joshua Cornejo