Files
EDGY4H/Project.md
2025-09-26 13:04:32 +00:00

21 KiB
Raw Blame History

OntolEDGY Documentation - DRAFT v.0.1

Enterprise Design Graph InterplaY - Formal Specification DRAFT

Version: 0.1-draft
Last Updated: September 22, 2024
Authors: Intersection Group, Omyn Health
Methodology: Maria Keet Standards Compliance (Draft Implementation)
Status: DRAFT - REQUIRES EMPIRICAL VALIDATION
License: Creative Commons BY-SA 4.0

DOCUMENT STATUS AND LIMITATIONS

This is a DRAFT specification that has undergone conceptual analysis but requires empirical validation before production use.

What Has Been Done (Verified)

  • Structural analysis of TTL syntax and semantics
  • Alignment verification with EDGY 23 Language Foundations
  • Conceptual consistency checking (manual)
  • Competency question design (untested)
  • Ontological design pattern analysis

What Remains To Be Done (Critical)

  • Automated consistency checking with reasoners
  • OOPS! pitfall scanner execution
  • Performance benchmarking with real data
  • Expert domain validation with Intersection core team review
  • Tool compatibility verification
  • SPARQL query execution and validation

1. INTRODUCTION AND SCOPE

1.1 Purpose

The EDGY ontology provides a formal semantic foundation for the Enterprise Design Graph InterplaY framework. This DRAFT specification outlines the conceptual design and intended formal semantics, pending empirical validation.

1.2 Domain and Scope

Primary Domain: Enterprise architecture and organizational design
Application Range: Commercial enterprises, non-profit organizations, government institutions
Granularity: Strategic to operational enterprise levels
Temporal Scope: Current state and future state enterprise configurations
Spatial Scope: Single organizations to multi-enterprise ecosystems

1.3 Intended Users

Primary Users:

  • Enterprise architects designing organizational structures
  • Business analysts modeling enterprise processes
  • Organizational designers optimizing enterprise configurations
  • Systems thinking practitioners analyzing complex organizations

Secondary Users:

  • Tool developers requiring enterprise semantics
  • Researchers in organizational theory
  • Consultants implementing enterprise transformations

1.4 Ontological Commitments

Graph Theory Foundation: Enterprises are modeled as directed graphs where elements (nodes) are connected through relationships (edges) to form analyzable network structures.
Function Behaviour Structure Alignment:

  • Function: Desired outcomes and purposes (edgy:Purpose, edgy:Outcome)
  • Behaviour: Observable activities and processes (edgy:Process, edgy:Activity, edgy:Journey)
  • Structure: Physical and organizational objects (edgy:Asset, edgy:Organization, edgy:Product)

Three-Relationship Primitive System: All enterprise relationships derive from three fundamental primitives (link, flow, tree) ensuring consistent semantic modeling.
Facet-Based Multi-Perspective Modeling: Three complementary facets (Experience, Architecture, Identity) provide complete enterprise coverage through intersection elements.

2. DEVELOPMENT METHODOLOGY

2.1 Methodological Approach

Primary Methodology: Hybrid macro-level (NeON methodology) and micro-level (OntoClean) development approach following Keet Chapter 5 guidelines.
Knowledge Engineering Process (Applied to Date):

  • Requirements Analysis: EDGY 23 Language Foundations specification analysis
  • Conceptualization: Graph-theoretic enterprise modeling principles
  • Formalization: OWL 2 EL ontology implementation (structural)
  • Implementation: Turtle serialization with formal axioms
  • Evaluation: PENDING - Requires empirical validation

2.2 Knowledge Sources

Primary Authoritative Sources:

  • EDGY 23: Language Foundations (Intersection Group, 2023) - Analyzed
  • Function Behaviour Structure Ontology (Gero, 1990) - Conceptually aligned
  • Graph Theory in Enterprise Architecture - Conceptually integrated
    Secondary Supporting Sources:
  • ArchiMate 3.1 Enterprise Architecture Modeling Language - Reviewed
  • Systems Thinking in Practice (Checkland, 1999) - Conceptually aligned
  • Enterprise Engineering methodologies - Reviewed
    Validation Sources (PENDING):
  • Real-world enterprise case studies
  • Expert domain knowledge validation
  • Tool implementation feedback

2.3 Design Principles (Implemented)

  • Principle P1: Three-Primitive Constraint: All object properties must specialize link, flow, or tree primitives ensuring consistent relationship semantics. Verified structurally
  • Principle P2: Facet Coverage: Every element must be viewable through at least one facet ensuring complete enterprise perspective coverage. Implemented axiomatically
  • Principle P3: Graph Connectivity: All elements must connect to at least one other element preventing isolated nodes in enterprise graphs. Implemented axiomatically
  • Principle P4: Intersection Formalization: Cross-facet elements (Organization, Product) must be formally defined as facet intersections using OWL equivalence classes. Implemented axiomatically

3. COMPETENCY QUESTIONS (DESIGNED - UNTESTED)

⚠️ These competency questions have been designed based on requirements analysis but have NOT been empirically tested with real data or SPARQL execution.

3.1 Structural Analysis Questions

CQ1: "What capabilities does an organization possess to enable specific processes?"

PREFIX edgy: <http://www.omyn.ai/schema/edgy#>
SELECT ?org ?capability ?process WHERE {
  ?org a edgy:Organization ;
       edgy:possesses ?capability .
  ?process a edgy:Process ;
           edgy:requires ?capability .
}

  • Status: UNTESTED - Requires SPARQL endpoint and test data
    CQ2: "Which products serve customer tasks within user journeys?"
PREFIX edgy: <http://www.omyn.ai/schema/edgy#>
SELECT ?product ?task ?journey WHERE {
  ?journey a edgy:Journey .
  ?task edgy:marksa ?journey .
  ?product edgy:serves ?task .
}

  • Status: UNTESTED - Requires SPARQL endpoint and test data
    CQ3: "What assets are required by capabilities to deliver specific products?"
PREFIX edgy: <http://www.omyn.ai/schema/edgy#>
SELECT ?asset ?capability ?product WHERE {
  ?capability edgy:requires ?asset .
  ?process edgy:realizes ?capability ;
           edgy:delivers ?product .
}

  • Status: UNTESTED - Requires SPARQL endpoint and test data

3.2 Dynamic Flow Analysis Questions

CQ4: "How do brand representations propagate through organizational purposes?"

PREFIX edgy: <http://www.omyn.ai/schema/edgy#>
SELECT ?brand ?purpose ?element WHERE {
  ?brand edgy:represents ?purpose .
  ?element edgy:pursues ?purpose .
}

  • Status: UNTESTED - Requires SPARQL endpoint and test data

3.3 Cross-Facet InterplaY Questions

CQ5: "Which elements operate at the intersection of multiple facets?"

PREFIX edgy: <http://www.omyn.ai/schema/edgy#>
SELECT ?element ?facet1 ?facet2 WHERE {
  ?element edgy:viewedThrough ?facet1, ?facet2 .
  FILTER(?facet1 != ?facet2)
}

  • Status: UNTESTED - Requires SPARQL endpoint and test data

4. CONCEPTUAL ARCHITECTURE (VERIFIED)

4.1 Core Class Hierarchy

EDGY Enterprise Elements:
edgy:Element (abstract base class)
├── edgy:Object (concrete physical/digital entities)
│   ├── edgy:Asset (capabilities-enabling resources)
│   ├── edgy:Content (story-conveying information)
│   ├── edgy:Organization (people working together) [Architecture ∩ Identity]
│   ├── edgy:People (individual stakeholders)
│   └── edgy:Product (customer-serving offerings) [Architecture ∩ Experience]
├── edgy:Activity (dynamic behaviors)
│   ├── edgy:Journey (stakeholder experience sequences) [Experience]
│   ├── edgy:Process (capability-realizing procedures) [Architecture]
│   └── edgy:Task (people-accomplished goals)
├── edgy:Brand (market-facing identity representation) [Identity]
├── edgy:Capability (process-enabling organizational abilities) [Architecture]
├── edgy:Channel (experience-delivering touchpoints) [Experience]
├── edgy:Outcome (achievement-targeted results)
│   └── edgy:Purpose (enterprise existence-justifying reasons)
└── edgy:Story (meaning-conveying narratives) [Identity]

  • Verification Status: Structurally verified against EDGY 23 specification

4.2 Relationship Architecture (Verified)

Three Primitive Relationships:
edgy:link (Structural Association):

  • Domain/Range: owl:Thing → owl:Thing
  • Characteristics: Symmetric by default, can be asymmetric in specializations
  • Purpose: Static structural relationships between enterprise elements

edgy:flow (Dynamic Sequence):

  • Domain/Range: owl:Thing → owl:Thing
  • Characteristics: AsymmetricProperty (directional behavioral flows)
  • Purpose: Dynamic behavioral sequences and object passing between elements

edgy:tree (Hierarchical Containment):

  • Domain/Range: owl:Thing → owl:Thing

  • Characteristics: IrreflexiveProperty, AsymmetricProperty

  • Purpose: Hierarchical containment and aggregation between same-type elements

  • Verification Status: Structurally implemented - All 21 domain-specific properties inherit from these primitives

4.3 Facet System Architecture (Verified)

Three EDGY Facets:
edgy:ExperienceFacet: People-centric perspective

  • Primary Elements: Journey, Channel, Task
  • Focus: Stakeholder interactions and experience optimization

edgy:ArchitectureFacet: Structure-centric perspective

  • Primary Elements: Process, Capability, Asset
  • Focus: Organizational structures and operational capabilities

edgy:IdentityFacet: Meaning-centric perspective

  • Primary Elements: Story, Brand, Purpose
  • Focus: Organizational meaning and stakeholder perception

Intersection Elements:

  • Organization = ArchitectureFacet ∩ IdentityFacet

  • Product = ArchitectureFacet ∩ ExperienceFacet

  • Verification Status: Axiomatically implemented using OWL equivalence classes


5. FORMAL AXIOMS AND CONSTRAINTS (IMPLEMENTED - UNTESTED)

  • ** Status: These axioms have been implemented in OWL **
  • Status: have NOT been tested with automated reasoners.

5.1 Graph Connectivity Axioms

Axiom GC1: Element Connectivity Requirement

edgy:Element rdfs:subClassOf 
    [ rdf:type owl:Restriction ;
      owl:onProperty [ owl:unionOf (edgy:link edgy:flow edgy:tree) ] ;
      owl:minCardinality 1 ] .

  • Status: Implemented
  • Status: Untested with reasoners

5.2 Facet System Axioms

Axiom FS1: Universal Facet Coverage

edgy:Element rdfs:subClassOf 
    [ rdf:type owl:Restriction ;
      owl:onProperty edgy:viewedThrough ;
      owl:minCardinality 1 ] .

Axiom FS2: Organization Intersection Definition

edgy:Organization owl:equivalentClass 
    [ owl:intersectionOf (
        [ rdf:type owl:Restriction ;
          owl:onProperty edgy:viewedThrough ;
          owl:hasValue edgy:ArchitectureFacet ]
        [ rdf:type owl:Restriction ;
          owl:onProperty edgy:viewedThrough ;
          owl:hasValue edgy:IdentityFacet ]
    ) ] .

  • Status: Implemented
  • Status: Untested with reasoners

5.3 Domain-Specific Constraints

Constraint DS1: Organization Capability Requirement

edgy:Organization rdfs:subClassOf 
    [ rdf:type owl:Restriction ;
      owl:onProperty edgy:possesses ;
      owl:minCardinality 1 ] .

  • Status: Implemented
  • Status: Requires validation with test data

6. VALIDATION AND QUALITY ASSURANCE - CURRENT STATUS

6.1 Completed Validations

  • Status: Structural Consistency. Validated
    - Manual syntax checking completed
    - EDGY 23 specification alignment verified
    - Relationship hierarchy consistency confirmed
    - Axiom syntax validation completed
  • Status: Conceptual Coherence - Validated
    - OntoClean principles applied (theoretical analysis)
    - FBS ontology alignment verified conceptually
    - Facet system completeness confirmed structurally

6.2 PENDING Critical Validations

  • Status: Logical Consistency - REQUIRED:
# TESTS TO BE PERFORMED
hermit -c edgy.ttl                    # Consistency checking
pellet consistency edgy.ttl           # Alternative reasoner validation
elk-reasoner edgy.ttl                 # EL reasoning validation

  • Status: Automated Pitfall Detection - REQUIRED:
# OOPS! Scanner execution needed
# Upload to: http://oops.linkeddata.es/
# Expected pitfalls to investigate based on structural analysis

  • Status: Performance Benchmarking - REQUIRE:
# Scalability tests needed
# Generate enterprise graphs: 100, 1K, 10K elements  
# Measure reasoning time and memory consumption
# Validate query response times

6.3 Placeholder Quality Metrics (TO BE VERIFIED)

The following metrics are ESTIMATES based on structural analysis and require empirical validation:

Metric Category Estimated Value Confidence Level Validation Required
Logical Consistency Likely Consistent Medium Reasoner execution
OOPS! Score 7-9/10 (estimated) Low Automated scanning
Competency Question Coverage 100% (designed) Medium SPARQL execution
Reasoning Performance Unknown None Benchmarking
Memory Requirements Unknown None Load testing

7. USAGE GUIDELINES AND PATTERNS (DESIGNED - UNTESTED)

7.1 Basic Enterprise Modeling Patterns

Pattern 1: Organizational Capability Model

:acmeCorp a edgy:Organization ;
    edgy:possesses :salesCapability, :developmentCapability ;
    edgy:makes :softwareProduct ;
    edgy:builds :acmeBrand .

:salesProcess a edgy:Process ;
    edgy:realizes :salesCapability ;
    edgy:delivers :softwareProduct ;
    edgy:requires :salesAsset .

  • Status Syntactically valid
  • Status: Untested with real data

Pattern 2: Customer Journey Mapping

:customerJourney a edgy:Journey ;
    edgy:traverses :webChannel, :storeChannel ;
    edgy:viewedThrough edgy:ExperienceFacet .

:purchaseTask a edgy:Task ;
    edgy:marksa :customerJourney .

:softwareProduct edgy:serves :purchaseTask ;
    edgy:featuresIn :customerJourney .

  • Status: Conce**ptually sound **
  • Requires validation in tools

8. REQUIRED VALIDATION ROADMAP

Phase 1: Automated Validation (IMMEDIATE - 1-2 weeks)

Critical Tests:

  1. Reasoner Consistency Checking
    • Execute HermiT, Pellet, ELK reasoners
    • Verify no logical contradictions
    • Document any inconsistencies found
  2. OOPS! Pitfall Analysis
    • Upload ontology to automated scanner
    • Analyze detected pitfalls
    • Prioritize and address critical issues
  3. Basic SPARQL Query Testing
    • Set up triple store with ontology
    • Execute all competency question queries
    • Verify syntactic correctness

Phase 2: Performance Validation

Scalability Tests:

  1. Load Testing
    • Generate synthetic enterprise data (100, 1K, 10K elements)
    • Measure classification time and memory usage
    • Document performance characteristics
  2. Query Performance
    • Benchmark competency question response times
    • Test complex graph traversal queries
    • Identify optimization requirements

Phase 3: Domain Expert Validation

Expert Review:

  1. Ontological Review
    • Independent ontologist validation
    • OntoClean methodology peer review
    • Conceptual coherence assessment
  2. Domain Expert Review
    • Enterprise architect practitioner feedback
    • Real-world use case validation
    • Alignment with enterprise design practice

Phase 4: Tool Integration Testing

Ecosystem Validation:

  1. Tool Compatibility
    • Protégé import/export testing
    • SPARQL endpoint deployment
    • Visualization tool integration
  2. Real-World Pilot
    • Small enterprise modeling pilot project
    • Practitioner usability assessment
    • Documentation refinement

9. STANDARDS COMPLIANCE AND INTEROPERABILITY

9.1 W3C Standards Compliance

OWL 2 Compliance:

  • Status: Structurally implemented
  • Status: Untested with validators
    - OWL 2 EL Profile: Designed for but requires validation
    - RDF(S) Compatibility: Implemented but untested
    - SPARQL Support: Designed for but requires testing
    Metadata Standards:
  • Status: Implemented
    - Dublin Core Terms: Complete metadata using DC Terms vocabulary
    - SKOS Core: Selected integration (edgy:Purpose)

9.2 Enterprise Architecture Standards (THEORETICAL)

  • ArchiMate 3.1 Alignment: REQUIRES FORMAL MAPPING VALIDATION
    - Conceptual alignment identified
    - Formal transformation rules needed
    - Tool interoperability testing required
  • BPMN 2.0 Integration: REQUIRES VALIDATION
    - Process elements theoretically compatible
    - Mapping validation needed

10. KNOWN LIMITATIONS AND RISKS

10.1 Technical Risks

Reasoning Performance: Untested axiom complexity may cause performance issues with large enterprise models.
Tool Compatibility: Complex OWL constructs may not be supported by all enterprise architecture tools.
Scalability: Graph connectivity constraints may not scale to enterprise-wide models.

10.2 Methodological Limitations

Expert Validation Gap: Ontology has not been reviewed by independent domain experts.
Real-World Testing Gap: No validation with actual enterprise data or use cases.
User Acceptance Unknown: Accessibility to target user community unverified.

10.3 Conceptual Risks

Over-Engineering: Formal axioms may be unnecessarily complex for practical enterprise design.
Philosophical Tensions: Graph-theoretic approach may conflict with traditional enterprise architecture thinking.

11. CONCLUSION AND NEXT STEPS

11.1 Current Status

This DRAFT specification provides a solid conceptual foundation for the EDGY ontology with:

  • Complete structural implementation
  • EDGY 23 specification alignment
  • Formal axiomatization (untested)
  • Methodological rigor (theoretical)

11.2 Critical Next Steps

Before Production Use:

  1. Complete automated validation suite (Phase 1)
  2. Perform scalability and performance testing (Phase 2)
  3. Obtain independent expert validation (Phase 3)
  4. Conduct real-world pilot testing (Phase 4)

11.3 Expected Timeline

Validation Complete: 3-6 months
Production Ready: 6-12 months
Community Adoption: 12-24 months

12. REFERENCES

12.1 Primary Sources

  1. Intersection Group. "EDGY 23: Language Foundations." Open Source Enterprise Design Framework, 2023.
  2. Gero, J.S. "Design prototypes: a knowledge representation schema for design." AI Magazine, vol. 11, no. 4, pp. 26-36, 1990.
  3. Keet, C. Maria. "An Introduction to Ontology Engineering." College Publications, London, 2018.

12.2 Standards and Specifications

  1. W3C OWL Working Group. "OWL 2 Web Ontology Language Document Overview (Second Edition)." W3C Recommendation, December 2012.
  2. The Open Group. "ArchiMate 3.1 Specification." The Open Group Standard, 2019.

12.3 Methodological References

  1. Suárez-Figueroa, M.C., Gómez-Pérez, A., Fernández-López, M. "The NeON Methodology framework: A scenario-based methodology for ontology development." Applied Ontology, vol. 10, no. 2, pp. 107-145, 2015.
  2. Poveda-Villalón, M., Gómez-Pérez, A., Suárez-Figueroa, M.C. "OOPS! (OntOlogy Pitfall Scanner!): An On-line Tool for Ontology Validation." International Journal on Semantic Web and Information Systems, vol. 10, no. 2, pp. 7-34, 2014.

Document Status: DRAFT SPECIFICATION
Validation Status: STRUCTURAL ANALYSIS COMPLETE - EMPIRICAL VALIDATION PENDING
Production Readiness: NOT READY - VALIDATION REQUIRED
Contact: sacha@omyn.ai
Repository: https://gitea/omyn.ai/schema/ontolEDGY-draft

⚠️ DISCLAIMER: This ontology specification is a draft that requires comprehensive validation before production deployment. Use at your own risk for experimental purposes only.