Context graphA living record of decision traces stitched across entities and time, making precedent searchable.
Context gapThe gap between recorded facts and the reasoning, permissions, and conditions that made decisions possible.
Decision traceEvidence of why a decision was allowed to happen at a particular time.
Process knowledgeOperational know-how about how work is performed, improved, and transmitted.
Procedural knowledge graphA graph grounded in formal ontologies, provenance, temporal validity, entity resolution, and controlled vocabularies.
Institutional memoryOrganizational knowledge accumulated through documentation, apprenticeship, and communities of practice.
Knowledge managementDiscipline concerned with capturing, organizing, maintaining, and applying organizational knowledge.
Community of practiceSocial structure through which practitioners transmit process knowledge and improve work.
OutsourcingTransfer of work outside an organization, treated in the article as a driver of lost process knowledge.
Knowledge Process OutsourcingOutsourcing of specialized knowledge-intensive work such as legal research, analytics, engineering design, and research.
Process miningMethod for analyzing event logs to reveal operational workflows; used as an analogy for context graphs.
PROV-OW3C provenance ontology for modeling provenance information.
SKOSW3C model for controlled vocabularies, concept schemes, and thesauri.
OWLWeb Ontology Language used for formal reasoning structures.
EU AI ActRegulatory context mentioned in the comments as a target for knowledge graph and ontology work.
Agentic AI systemsAI systems whose failures are framed as symptoms of weak process knowledge and missing decision traces.
Semantic WebWeb of linked RDF data and dereferenceable identifiers used to publish knowledge graphs for machine and human access.
Linked DataPrinciples for publishing structured data on the Web using HTTP IRIs and typed links between resources.
WebDAVHTTP extension used here as a mounted file folder workflow for publishing generated RDF and HTML artifacts.
Virtuoso WebDAV publicationWorkflow where files copied to a mounted Virtuoso WebDAV folder become Web-accessible resources and graph inputs.
Risk mitigationComment-thread framing that the article can inform mitigation of multidimensional organizational and AI risks.
Multidimensional viewComment-thread idea that the same article can support many perspectives when represented as a graph.
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Founder & CEO at OpenLink Software | Driving GenAI-Based AI Agents | Harmonizing Disparate Data Spaces
Jessica, here is a knowledge graph, deployed as a Semantic Web, constructed from notes generated by my AI agent from this post. Publication for Web access and upload to the underlying Virtuoso-hosted knowledge graph is achieved by mounting a Virtuoso WebDAV folder to the local operating system, copying local files into the mounted folder, and letting Linked Data principles provide Web-scale data access by reference. Links include https://linkeddata.uriburner.com/DAV/demos/daas/context-gap-jessica-talisman-gpt5-1.html and hashtags #AgenticWeb #ContextGraph #KnowledgeGraphs #LinkedData #SemanticWeb #HowTo #UseCase.
RDF entityPartner, Data & AI Engineering Lead | ex AWS, BBC | Ontologist
Very astute observations Jessica Talisman. It reminds me of so many decisions that are made by every government. Quick decisions are made with unknown consequences yet to be realised. Often resulting in the cure being worse than the original pathogen. We are, as a species, so destined to find a quick fix, only to realise it cases a slow decline.
RDF entityAuthor, Building information systems for the benefit of all Taxonomy | Ontology | Knowledge Graphs
Charles outsource or automate without much in between. Currently reading Goliath's Curse by Luke Kemp which I think you'd appreciate
RDF entityLet's make your home more safe and secure with a self-monitored video sensor solution that provides one-touch 911.
Jessica Talisman!!! Everything old is new again. If all our experts disappeared... would our decision making systems be able to explain how decisions were made? One consolation is that we are pretty good at gaining wisdom after the fact.
RDF entityAuthor, Building information systems for the benefit of all Taxonomy | Ontology | Knowledge Graphs
Fred knowledge and wisdom!
RDF entityFounder @Antifragile.AI | Senior Architect | GenAI | Data | AI/ML @ Flutter Entertainment
Jessica Talisman I really appreciate that you are sharing all this valuable information in an usable format. Have started building a knowledge graph and an ontology for the EU AI Act at Antifragile.AI, for streamlining compliance & cybersecurity and helping systems to become antifragile in time. Context graphs and context engineering are core components for providing evidence-based assertions and remediations, advanced observability and even inputs for RL of Agents.
RDF entityFounder, Duodata | I help data leaders go from messy KPIs to a business-approved metrics layer everyone trusts | Ex-AWS, Microsoft, Matillion
Jessica, love this! The phrase "context graph" is useful, but your point that the market is rediscovering process knowledge, ontology, and institutional memory is spot on. Curious how others here are thinking about the cultural side of this: can companies rebuild the communities of practice behind the graph, or will they keep trying to buy the artifact without restoring the discipline? We have seen this movie before.
RDF entityChief Solutions Officer
What is lost is found again - just repackaged. Jessica Talisman, really enjoyed your observations linking the past days to today - hugely astute.
RDF entityAuthor, Building information systems for the benefit of all Taxonomy | Ontology | Knowledge Graphs
thank you, Andi
RDF entityPlanetary Risk managed, Spatially Intelligent, Adaptive Resilient Assets & Solutions.
This is brilliant articulation of risks we face - and what to do to influence the mitigation. A very multidimensional view can be formed from the same article.
RDF entity