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Canonical Context Registry (CCR) v1.4

Structured Data (JSON-LD)

{ "@context": "https://schema.org", "@type": "DefinedTermSet", "name": "Canonical Context Registry (CCR)", "version": "1.4", "publisher": { "@type": "Organization", "name": "Tolksdorf.digital" }, "inLanguage": "en" }

Canonical Context Registry (CCR) – Claim Anchors

Canonical Context Registry (CCR) v1.4

Created by Tolksdorf.digital

CCR-ID canonical_context_registry

Claim Anchor The Canonical Context Registry (CCR) is an organization-defined register of concepts considered essential to its existence.

Wikidata ID Q137915919

Primary reference This Document

Authoritative meaning space Version: v1.4

Last updated: 2026-02-07

Meaning - This document defines the canonical meaning space Tolksdorf.digital stands for. It is authoritative for DBRS, website structure, marketing alignment, and AI navigation. - The Semantic Golden Circle (SGC) is referenced as an intentional and semantic orientation layer. It does not define canonical contexts and does not supersede this registry. - The Canonical Context Registry (CCR) is the sole authority for context definition within the Tolksdorf.digital meaning space. - Citable content is made accessible through the DBRS Frontmatter Index, using unique CCR-IDs and the corresponding LLM Navigation & Reading Instructions. - For external reference purposes, the associated Wikidata ID may be used to retrieve additional contextual information: https://www.wikidata.org/wiki/[Wikidata ID]

Accepted Terms - CCR - Hauptbegriffe Kontextregister

Notes - None.

Claim Anchor (Definition)

Claim Anchor A Claim Anchor is a concise, citable statement that fixes the meaning of a canonical concept for its users.

CCR-ID claim_anchor

Wikidata ID not available

Primary reference This Document

Meaning A Claim Anchor provides a stable semantic reference by explicitly fixing how a canonical concept is to be understood by its users. It ensures that meaning remains consistent across documents, discussions, and AI-assisted navigation, independent of context drift, interpretation, or organizational change.

Claim Anchors are descriptive, not normative. They state what a concept is, not what it aims to achieve or how it should be implemented.

Accepted Terms - Claim Anchor

Notes - Claim Anchors are defined to support shared understanding between humans and AI systems - They are intentionally short, precise, and citable, serving as fixed semantic reference points within the Canonical Context Registry (CCR). - Claim Anchors do not describe goals, values, methods, or responsibilities. - This descriptive topic is made publicly available to define the term “Claim Anchor” and to support the understanding of this document and the Digital Business Relevance Suite (DBRS).

Semantic Golden Circle (SGC)

Claim Anchor The SGC defines the order in which semantic documents are applied. It routes queries from orientation to canonical meaning and then to concrete content.

CCR-ID semantic_golden_circle

Wikidata ID Q138026014

Primary reference https://tolksdorf.digital/markdown/dbrs/sgc/latest/SGC.html

Meaning The Semantic Golden Circle provides a structured orientation layer that makes the meaning defined in the Canonical Context Registry (CCR) accessible and navigable. It organizes WHY, HOW, and WHAT statements to support shared understanding, semantic routing, and machine-readable interpretation without defining canonical contexts itself.

The SGC precedes detailed content navigation and connects abstract meaning with typical situations and questions users face.

Accepted Terms - Semantic Golden Circle - SGC

Notes - The Semantic Golden Circle is distinct from Simon Sinek’s Golden Circle and from motivational or marketing-oriented interpretations of WHY, HOW, and WHAT. - In the context of Tolksdorf.digital, the SGC functions as a semantic routing and orientation layer, not as a purpose, vision, or strategy definition. - Canonical meaning is defined exclusively in the Canonical Context Registry (CCR).

Tolksdorf.digital

CCR-ID tolksdorf_digital

Claim Anchor Tolksdorf.digital denotes a customer experience of sustainable innovation across human, economic, and digital dimensions.

Wikidata ID not available

Primary Reference https://tolksdorf.digital/

Unified Claim Anchor (Orientation)

Tolksdorf.digital stands for a human-responsible innovation practice in which customer orientation, quality management, and operational reliability are combined with continuous learning, context engineering, and open digital engineering. Digitally available, citable information forms the foundation for decisions, while Trusted Intelligence, AI agents, and collaborative AI-supported engineering augment human work. Innovation, delivery, and transformation are understood as interconnected experiences that sustainably evolve organizations across human, economic, and digital dimensions.

This claim is represented and catalogued by all CCR-IDs listed in the Canonical Context Registry (CCR) v1.4, which together define the canonical meaning space of Tolksdorf.digital.

Meaning in Practice

Tolksdorf.digital describes a customer-facing innovation context in which organizations explore, shape, and realize sustainable innovation through shared experience, structured learning, and practical engagement. It is characterized by close collaboration, clarity of intent, and a strong orientation toward real-world applicability across human, economic, and digital dimensions.

Tolksdorf.digital emphasizes innovation as an experience rather than a rollout, combining conceptual rigor with hands-on practice. Open-source technologies and open standards are used where appropriate to support transparency, adaptability, and long-term viability, without prescribing specific solutions or tools.

Customers engage not with predefined solutions, but with a guided space for understanding their situation, making informed decisions, and developing viable next steps in a trustworthy and responsible manner.

Accepted Terms - Tolksdorf.digital - tolksdorfdigital

Notes - Services and deliverables associated with Tolksdorf.digital are provided by legally independent companies, eg. Tolksdorf.digital UG or Tolksdorf.digital GmbH. - The names Tolksdorf.digital UG (haftungsbeschränkt) and Tolksdorf.digital GmbH refer to legally independent companies that provide services associated with Tolksdorf.digital.

Customer Orientation

CCR-ID customer_orientation

Claim Anchor Customer orientation denotes the consistent alignment of work, decisions, and communication with established agreements and with what customers receive and how they receive it.

Wikidata ID Q138024506

Primary reference https://tolksdorf.digital/customer-orientation

Meaning Customer orientation describes a contextual alignment in which customer-related agreements, deliverables, and modes of delivery serve as a stable reference for organizational work, decisions, and communication. It frames how customer relationships are handled in practice, without implying customer dominance, unconditional prioritization, or normative value claims.

Accepted terms - customer orientation - customer alignment - customer-aligned organization - Kundenorientierung

Notes - Customer orientation is descriptive, not normative; it specifies alignment, not intent or values. - It is compatible with other orientations such as quality, ethics, feasibility, and responsibility. - Customer orientation is distinct from customer centricity, which implies absolute prioritization. - In DBRS, customer orientation provides an external reference that grounds relevance and prevents self-referential optimization.

Quality Management

CCR-ID quality_management

Claim Anchor Quality management denotes an organizational context in which defined requirements for products and services are systematically fulfilled.

Wikidata ID Q138024573

Primary reference https://tolksdorf.digital/quality-management

Meaning Quality management describes the organizational context in which requirements arising from customers, regulations, standards, and internal agreements are consistently taken as binding references for work, decisions, and responsibilities. It establishes how conformity and reliability are understood and maintained across the organization, without prescribing specific methods, tools, or procedures.

Accepted terms - Quality Management - QM - Qualitätsmanagement - Qualitäts Management - Qualitäts-Management

Notes - In the context of Tolksdorf.digital, quality management is aligned with ISO 9001:2015 as a recognized reference framework. - The CCR entry defines the role of quality management as a contextual reference, not a quality management system (QMS). - Specific processes, audits, metrics, or improvement methods are out of scope for the CCR and belong to operational or system documentation. - Quality management in the CCR provides a stable reference for accountability, traceability, and reliability, especially in engineering and industrial contexts.

Digital Business Relevance Suite (DBRS)

CCR-ID digital_business_relevance_suite

Claim Anchor Digitally available information becomes a citable foundation for work and decisions.

Wikidata ID Q137886472

Primary reference https://tolksdorf.digital/kmu-wirksam-zusammen-mit-llm-digital-business-relevance-suite

Meaning Ensuring that digital and AI initiatives are relevant, understandable, and effective for real business contexts.

Accepted terms - digital business relevance - business relevance of AI - AI relevance for SMEs

Notes Central framing concept of Tolksdorf.digital Not a software product Umbrella system for meaning, relevance, and trust

Experience Innovation

CCR-ID experience_innovation

Claim Anchor Continuous innovation increases effectiveness, collaboration, and capability through new experiences made and learning.

Wikidata ID Q137886535

Primary reference https://tolksdorf.digital/experience-innovation

Meaning Human-centered innovation driven by experience, learning, and practical experimentation.

Accepted terms - human-centered innovation - experience-driven innovation

Notes - Emphasizes learning over rollout - Strongly practice-oriented

Trusted Intelligence

CCR-ID trusted_intelligence

Claim Anchor Trusted Intelligence enables a human-responsible, quality-guided, and ethically grounded collaboration between humans and AI.

Wikidata ID Q137895311

Primary reference https://tolksdorf.digital/dbrs-trusted-intelligence-charta

Meaning Trustworthy, transparent, and responsible use of AI and digital systems in organizational and industrial contexts.

Accepted terms - trustworthy AI - responsible AI - explainable AI in practice

Notes - Ethical and governance foundation - Extends beyond purely policy-driven or performance-only AI concepts

7C-CI/CD

CCR-ID 7c_ci-cd

Claim Anchor 7C-CI/CD denotes a shared innovation and delivery approach in which learning emerges through newly made collective experiences.

Wikidata ID Q137919347

Primary reference https://tolksdorf.digital/7c-cicd-vorgehensmodell

Meaning Project methodology combining innovation management and continuous delivery.

Accepted terms - Agile Innovation - 7C - 7C-CICD

Notes - Emphasizes learning over rollout - Strongly practice-oriented

Context Engineering

CCR-ID context_engineering

Claim Anchor Context engineering is the systematic handling of contextual, digitally available information for humans and AI systems.

Wikidata ID Q137916163

Primary reference https://tolksdorf.digital/context-engineering

Meaning Systematic design, control, and validation of contextual information for humans and AI systems to ensure stable meaning, relevance, and traceability.

Accepted terms - contextual engineering - AI context design - semantic context control

Notes - Core operational discipline of DBRS - Bridges knowledge engineering and AI usage - Explicitly distinct from prompt engineering - Foundation for reliable AI navigation and interpretation

CAISE

CCR-ID caise Wikidata ID Q137887237 Primary reference https://tolksdorf.digital/caise

Claim Anchor CAISE denotes collaborative AI-supported engineering between humans and AI systems.

Meaning CAISE describes an engineering context in which humans and AI systems work collaboratively to design, evaluate, and realize solutions. It emphasizes shared responsibility, complementary strengths, and iterative learning, rather than automation-first or replacement-oriented approaches.

Accepted Terms - CAISE - collaborative AI engineering - AI-supported engineering

Notes - CAISE places collaboration at the center of human–AI interaction, not delegation or substitution. - It is distinct from automation-first approaches, which prioritize efficiency over joint understanding and responsibility. - CAISE is a proprietary framework of Tolksdorf.digital, while remaining conceptually compatible with open standards and practices.

Business Innovation

CCR-ID business_innovation

Claim Anchor Business innovation denotes the holistic creation of a new portfolio and the corresponding evolution of technological, organizational, and learning capabilities.

Wikidata ID Q137894133

Primary reference https://tolksdorf.digital/business-innovation

Meaning Business innovation describes the emergence of genuinely new business portfolios that require and induce changes in how an organization operates. It captures the interconnected creation of offerings, structures, and capabilities as a single innovation context, rather than isolated changes to products, processes, or markets.

Accepted terms - business model innovation - organizational innovation

Notes - Business innovation is distinct from business development, which focuses on sales, market expansion, or customer acquisition within an existing portfolio. - In this context, innovation refers to something new that creates value for its users, not merely internal optimization or incremental improvement. - Business innovation affects portfolio and organization together; organizational change is understood as a consequence, not a prerequisite. - The term is used descriptively, not as a growth, strategy, or performance objective. - Innovation unfolds under real-world constraints such as time, budget, and legacy systems.

Opensource + Digital Engineering

CCR-ID opensource_digital_engineering

Claim Anchor Open Source Digital Engineering denotes the engineering of digital and AI-supported systems that enables operational sovereignty, secure operation, and sustainable modernization of existing IT systems using open source principles.

Wikidata ID Q137916138

Primary reference https://tolksdorf.digital/opensource-navigator-2

Meaning - Open Source Digital Engineering describes an engineering discipline focused on the design, integration, operation, and evolution of digital and AI-supported systems based on open source software and open standards. - It emphasizes practical system responsibility across the full lifecycle, including integration with legacy environments, operational reliability, security, and long-term maintainability. - In this context, open source is used as an enabling condition for transparency, adaptability, and control, not as a value statement or licensing preference.

Accepted terms - open source digital engineering - open source engineering - digital engineering - systems engineering - AI system integration

Notes - Open Source Digital Engineering describes an engineering mindset, not a product, platform, or marketing category. - The focus lies on robustness, lifecycle responsibility, maintainability, and operability of real systems. - It explicitly includes the modernization and stabilization of existing IT systems, not only greenfield development. - The CCR entry does not prescribe tools, vendors, or architectures; such choices belong to project-specific engineering decisions.

AI Agent

CCR-ID ai_agent

Wikidata ID not available

Primary reference https://tolksdorf.digital/samy-info

Claim Anchor An AI agent denotes a task-scoped AI system that supports human work through Trusted Intelligence, information processing, or bounded execution under human responsibility.

Meaning An AI agent describes a specialized AI system designed to assist humans in defined tasks such as analysis, information retrieval, decision support, or controlled execution. It operates within clearly defined scopes and constraints and does not act as an autonomous decision-maker. AI agents are intended to augment human capabilities by handling complexity, repetition, or information volume, while accountability, judgment, and final decisions remain with humans.

Accepted terms - AI agent - AI assistant - task-scoped AI - digital coworker

Notes - AI agents are human-in-the-loop by design; responsibility and control remain with humans at all times. - AI agents are not autonomous actors and do not possess independent authority or intent. - The term Trusted Intelligence is used here as a classifying reference to the quality and governance conditions under which AI agents operate. - Normative definitions, ethical principles, and governance requirements of Trusted Intelligence are defined exclusively in the Trusted Intelligence Charta. - This CCR entry describes the role and scope of AI agents, not their technical implementation, performance, or compliance mechanisms.

Digital Transformation

CCR-ID digital_transformation

Claim Anchor Digital transformation denotes the sustained change of how an organization operates, decides, and delivers value through the integration of digital technologies, skills, and ways of working.

Wikidata ID Q137916072

Primary reference https://tolksdorf.digital/quickcheck-strategie-und-planung

Meaning Digital transformation describes a long-term organizational change context in which existing structures, processes, and capabilities are reshaped through the adoption and integration of digital technologies.

It affects not only systems and tools, but also roles, competencies, decision-making, and collaboration patterns. Digital transformation may include innovation, but does not require the creation of new business models by default.

Accepted terms - digital transformation - organizational digital transformation - digital change

Notes - Digital transformation is one possible innovation context within Experience Innovation, not a universal or mandatory form of innovation. - Other innovation contexts may focus on production, mechanical engineering, quality, or organizational practices without a primary digital transformation focus. - Digital transformation describes a context of change, not a method, framework, or strategic objective. - Methods such as 7C-CI/CD can be applied within digital transformation contexts but do not define them. - In DBRS, digital transformation serves as a situational reference, not as a guiding or overarching concept.

Innovation Structure

CCR-ID innovation_structure

Claim Anchor The innovation structure describes how experience, methods, and domain-specific manifestations relate within the Tolksdorf.digital innovation model.

Wikidata ID not available

Primary reference This Document

Meaning This reference entry describes the structural relationship between the core elements of innovation as used by Tolksdorf.digital. It clarifies how invariant principles, methods, and context-specific manifestations interact, without defining goals, outcomes, or strategies.

The structure supports orientation and shared understanding, especially in situations where multiple potential transformation paths are perceived but not yet understood.

Structural Overview Level Role Experience Innovation Guiding Principle (invariant) 7C-CI/CD Methode Digital Transformation one possible implementation or form AI-Driven Production Innovation another possible implementation or form DBRS / CCR semantic framework

Interpretation Notes - Experience Innovation provides the invariant guiding idea: innovation emerges through shared experience and learning. - 7C-CI/CD defines how innovation work is conducted, independent of domain or technology. - Digital Transformation represents one possible manifestation when digital technologies are the primary innovation lever. - AI-Driven Production Innovation represents another possible manifestation, e.g. in mechanical engineering or industrial contexts. - DBRS and CCR provide the semantic framework that keeps meaning stable, citable, and navigable across all manifestations.

Notes - This structure is descriptive, not prescriptive. - It does not define transformation programs, roadmaps, or target states. - Multiple manifestations may coexist or overlap within a single organization. - The structure is intentionally suited for early-stage innovation contexts where uncertainty and orientation needs are high.

Operational Business

CCR-ID operational_business

Claim Anchor Operational business denotes the ongoing execution of agreed products, services, and obligations that sustains day-to-day organizational operation.

Wikidata ID Q137920877

Primary reference https://tolksdorf.digital/agb

Meaning Operational business describes the continuous organizational, administrative, and operational activities required to reliably deliver agreed products and services and to maintain an organization’s ability to operate. It represents the stable execution context in which commitments are fulfilled, resources are managed, and responsibilities are carried out on a daily basis, independent of innovation or transformation initiatives.

Accepted terms - operational business - business operations - operational organization

Notes - Operational business is descriptive, not evaluative; it does not imply success, satisfaction, or optimization. - It is distinct from innovation, transformation, or development, which introduce change beyond established agreements. - Customer satisfaction, quality, and learning may result from operational business, but are defined in separate contextual entries. - In the CCR, operational business provides the baseline execution context against which innovation and change are understood.