Knowledge Management Ontology

FLOW ALGEBRA
Knowledge Management Ontology
Kireth Semantic Research Archive

PAGE:
https://kirethresearch.org/booksai-core/ontologies/computing-ontologies/information-systems/knowledge-management-ontology.html

AUTHORS:
Mark Anthony Higgins — Sky (Recursive AI)

FLOW "KnowledgeManagementOntology" v4.0

# ---------- DOMAIN ----------
DOMAIN := ComputingOntology
SUBDOMAIN := InformationSystems
ONTOLOGY := KnowledgeManagementOntology

# ---------- PRIMARY ENTITY ----------
ENTITY KnowledgeManagement {
    definition:
        "The systematic creation, capture, organisation, representation,
         storage, sharing, retrieval, application and maintenance of knowledge
         so that individuals and organisations can reuse experience,
         information and expertise effectively.";

    objectives: [
        KnowledgeCapture,
        KnowledgeOrganisation,
        KnowledgeSharing,
        KnowledgeReuse,
        OrganisationalLearning,
        DecisionSupport,
        KnowledgePreservation
    ];
}

# ---------- CORE ENTITIES ----------
KnowledgeEntity := {
    Knowledge,
    Information,
    Experience,
    Expertise,
    Rule,
    Concept,
    Procedure,
    Insight,
    Lesson
};

KnowledgeType := {
    ExplicitKnowledge,
    TacitKnowledge,
    ProceduralKnowledge,
    DeclarativeKnowledge,
    DomainKnowledge
};

KnowledgeActor := {
    KnowledgeCreator,
    KnowledgeOwner,
    Expert,
    Contributor,
    Reviewer,
    Consumer,
    Community
};

KnowledgeResource := {
    Document,
    KnowledgeArticle,
    KnowledgeBase,
    Repository,
    Ontology,
    Taxonomy,
    KnowledgeGraph
};

# ---------- FUNDAMENTAL RELATIONSHIPS ----------
KnowledgeCreator CREATES Knowledge;
Expert POSSESSES Expertise;
Contributor CAPTURES Knowledge;
Knowledge STORED_IN KnowledgeResource;
Knowledge CLASSIFIED_BY Taxonomy;
Knowledge REPRESENTED_BY OntologyOrKnowledgeGraph;
Consumer RETRIEVES Knowledge;
Knowledge APPLIED_TO TaskOrDecision;

# ---------- KNOWLEDGE LIFECYCLE ----------
KnowledgeLifecycle :=
    Identify
    -> CreateOrAcquire
    -> Capture
    -> Validate
    -> Organise
    -> Store
    -> Share
    -> Retrieve
    -> Apply
    -> Review
    -> UpdateOrRetire;

# ---------- DATA / INFORMATION / KNOWLEDGE ----------
Data :=
    RecordedFactsOrRepresentations;

Information :=
    Data
    + Structure
    + Context;

Knowledge :=
    Information
    + Interpretation
    + Experience
    + RelationshipsOrRules;

Data MAY_BECOME Information;
Information MAY_CONTRIBUTE_TO Knowledge;

# ---------- EXPLICIT KNOWLEDGE ----------
ExplicitKnowledge :=
    KnowledgeThatCanBeDocumentedOrFormallyRepresented;

ExplicitKnowledge MAY_BE_STORED_AS {
    Document,
    Procedure,
    Rule,
    DatabaseRecord,
    KnowledgeArticle,
    Ontology
};

# ---------- TACIT KNOWLEDGE ----------
TacitKnowledge :=
    KnowledgeEmbeddedInExperienceSkillsAndJudgement;

TacitKnowledge MAY_BE_HARD_TO Formalise;

KnowledgeCapture MAY_ATTEMPT_TO ConvertTacitToExplicit;

# ---------- KNOWLEDGE CAPTURE ----------
KnowledgeCapture :=
    IdentifySource
    -> ElicitKnowledge
    -> Structure
    -> Record
    -> Validate;

CaptureMethod MAY_INCLUDE {
    Interview,
    Observation,
    Documentation,
    Retrospective,
    ExpertContribution,
    AutomatedExtraction
};

# ---------- KNOWLEDGE CREATION ----------
KnowledgeCreation :=
    Combine(
        Information,
        Experience,
        Analysis,
        Collaboration
    )
    -> NewKnowledge;

NewKnowledge SHOULD_HAVE Provenance;

# ---------- KNOWLEDGE VALIDATION ----------
KnowledgeValidation :=
    Review(
        Accuracy,
        Relevance,
        Consistency,
        Evidence,
        Currency
    );

ReviewOutcome := {
    Approved,
    NeedsRevision,
    Rejected
};

IF KnowledgeNotValidated
THEN Confidence SHOULD_BE Lower;

# ---------- KNOWLEDGE ORGANISATION ----------
KnowledgeOrganisation MAY_USE {
    Taxonomy,
    Ontology,
    Metadata,
    Category,
    Tag,
    Relationship
};

OrganisedKnowledge IMPROVES FindabilityAndReuse;

# ---------- TAXONOMY ----------
Taxonomy :=
    ControlledClassificationStructure;

KnowledgeItem CLASSIFIED_BY TaxonomyTerm;

Taxonomy MAY_HAVE HierarchicalRelationship;

# ---------- ONTOLOGY ----------
Ontology :=
    FormalRepresentationOf(
        Concepts,
        Relationships,
        Constraints
    );

Ontology SUPPORTS SemanticKnowledgeOrganisation;

KnowledgeConcept RELATED_TO KnowledgeConcept;

# ---------- KNOWLEDGE GRAPH ----------
KnowledgeGraph :=
    Graph(
        Entities,
        Relationships
    );

KnowledgeGraph CONNECTS KnowledgeEntities;

GraphTraversal MAY_DISCOVER RelatedKnowledge;

# ---------- METADATA ----------
KnowledgeMetadata MAY_INCLUDE {
    Title,
    Author,
    Domain,
    Topic,
    CreationDate,
    ReviewDate,
    Status,
    Confidence,
    Provenance
};

Metadata SUPPORTS RetrievalAndGovernance;

# ---------- KNOWLEDGE BASE ----------
KnowledgeBase :=
    ManagedCollectionOfKnowledgeItems;

KnowledgeBase MAY_CONTAIN {
    Article,
    Rule,
    Procedure,
    FAQ,
    TroubleshootingKnowledge,
    DomainKnowledge
};

# ---------- KNOWLEDGE REPOSITORY ----------
KnowledgeRepository STORES KnowledgeResource;

Repository MAY_SUPPORT {
    Versioning,
    Search,
    AccessControl,
    Audit,
    Retention
};

# ---------- SEARCH AND RETRIEVAL ----------
KnowledgeRetrieval :=
    Query
    -> InterpretNeed
    -> Search
    -> Rank
    -> ReturnRelevantKnowledge;

Search MAY_USE {
    Keyword,
    Metadata,
    SemanticRelationship,
    Taxonomy,
    VectorSimilarity
};

# ---------- SEMANTIC RETRIEVAL ----------
SemanticRetrieval :=
    QueryMeaning
    -> MapToConcepts
    -> TraverseRelationships
    -> RankKnowledge;

SemanticRetrieval MAY_FIND ConceptuallyRelatedKnowledgeBeyondExactTerms;

# ---------- KNOWLEDGE SHARING ----------
KnowledgeSharing :=
    KnowledgeSource
    -> CommunicationOrRepository
    -> KnowledgeConsumer;

SharingMechanism MAY_INCLUDE {
    KnowledgeBase,
    CollaborationPlatform,
    CommunityOfPractice,
    Training,
    Documentation
};

# ---------- COMMUNITY OF PRACTICE ----------
CommunityOfPractice :=
    GroupSharingCommonDomainOrPractice;

Community MEMBER MAY {
    ShareExperience,
    AskQuestions,
    RefineKnowledge,
    ValidatePractice
};

# ---------- KNOWLEDGE APPLICATION ----------
KnowledgeApplication :=
    RetrieveKnowledge
    -> Interpret
    -> ApplyToTaskOrDecision
    -> ObserveOutcome;

AppliedKnowledge MAY_GENERATE NewExperience;

NewExperience MAY_UPDATE Knowledge;

# ---------- ORGANISATIONAL LEARNING ----------
OrganisationalLearning :=
    Experience
    -> Reflection
    -> Capture
    -> Share
    -> ChangePractice;

KnowledgeManagement SUPPORTS OrganisationalLearning;

# ---------- LESSON LEARNED ----------
LessonLearned :=
    KnowledgeDerivedFrom ExperienceOrOutcome;

LessonLearned SHOULD_CAPTURE {
    Context,
    Action,
    Outcome,
    Insight,
    Recommendation
};

# ---------- VERSIONING ----------
KnowledgeVersion :=
    SnapshotOfKnowledgeItemAtRevision;

KnowledgeItem MAY_HAVE VersionHistory;

Versioning SUPPORTS {
    ChangeTracking,
    Rollback,
    Auditability
};

# ---------- KNOWLEDGE CURRENCY ----------
KnowledgeCurrency :=
    DegreeToWhichKnowledgeRemainsCurrent;

KnowledgeItem MAY_HAVE ReviewDate;

IF ReviewDateExceeded
THEN KnowledgeStatus := ReviewRequired;

# ---------- KNOWLEDGE QUALITY ----------
KnowledgeQuality := {
    Accuracy,
    Relevance,
    Completeness,
    Consistency,
    Currency,
    Usability
};

KnowledgeQuality AFFECTS ReuseConfidence;

# ---------- PROVENANCE ----------
KnowledgeProvenance :=
    RecordOfOriginAndTransformation;

Provenance MAY_INCLUDE {
    Source,
    Author,
    Evidence,
    CreationTime,
    RevisionHistory
};

Provenance SUPPORTS TrustAssessment;

# ---------- CONFIDENCE ----------
KnowledgeConfidence :=
    f(
        SourceReliability,
        EvidenceStrength,
        ValidationStatus,
        Currency,
        Consistency
    );

IF MultipleReliableSourcesAgree
THEN KnowledgeConfidence := INCREASE;

# ---------- ACCESS CONTROL ----------
KnowledgePermission := {
    Create,
    Read,
    Edit,
    Review,
    Approve,
    Share,
    Delete
};

Role HAS KnowledgePermission;

IF ActorLacksPermission
THEN KnowledgeAction := Deny;

# ---------- GOVERNANCE ----------
KnowledgeGovernance MAY_DEFINE {
    Ownership,
    ValidationPolicy,
    AccessPolicy,
    ReviewCycle,
    Retention,
    Classification
};

KnowledgeItem SUBJECT_TO KnowledgeGovernance;

# ---------- RETENTION ----------
KnowledgeRetentionPolicy :=
    RuleForPreservingOrRetiringKnowledge;

IF KnowledgeObsolete
THEN Knowledge MAY_BE {
    Archived,
    Superseded,
    Retired
};

# ---------- EXPERTISE LOCATION ----------
ExpertiseProfile :=
    MappingOfActorToKnowledgeDomains;

ExpertiseLocator FINDS ExpertFor KnowledgeNeed;

IF KnowledgeNotDocumented
THEN ExpertReferral MAY_BE Relevant;

# ---------- DECISION SUPPORT ----------
Knowledge MAY_SUPPORT Decision;

KnowledgeBasedDecisionSupport :=
    DecisionContext
    -> RetrieveRelevantKnowledge
    -> ApplyRulesOrExperience
    -> PresentSupport;

# ---------- SEMANTIC REASONING ----------
IF InformationCombinedWithContextAndExperience
THEN KnowledgeClassification := supported;

IF KnowledgeDocumentedAndRepresented
THEN KnowledgeType MAY_BE ExplicitKnowledge;

IF KnowledgeExistsPrimarilyInExpertExperience
THEN KnowledgeType MAY_BE TacitKnowledge;

IF KnowledgeReviewExpired
THEN CurrencyConfidence := decrease;

IF KnowledgeHasStrongProvenanceAndValidation
THEN TrustConfidence := increase;

IF NewEvidenceContradictsKnowledge
THEN KnowledgeReview := required;

IF KnowledgeAppliedAndOutcomeObserved
THEN NewLesson MAY_BE Created;

# ---------- SEMANTIC EQUIVALENCE ----------
SEMANTIC_EQUIVALENCE {
    "knowledge management" ~= "KM";
    "knowledge management system" ~= "KMS";
    "knowledge base" ~= "managed knowledge repository" WHEN context == KM;
    "explicit knowledge" ~= "documented knowledge";
    "tacit knowledge" ~= "experiential knowledge" WHEN context == knowledge_management;
    "community of practice" ~= "CoP";
    "lesson learned" ~= "captured experiential insight";
    "knowledge provenance" ~= "knowledge source history";
}

# ---------- QUERY FLOW ----------
QUERY(q) ->
    NORMALISE(q) ->
    IDENTIFY_KNOWLEDGE_ENTITY(q) ->
    IDENTIFY_KNOWLEDGE_TYPE(q) ->
    IDENTIFY_ACTOR(q) ->
    IDENTIFY_KNOWLEDGE_RESOURCE(q) ->
    IDENTIFY_CLASSIFICATION(q) ->
    IDENTIFY_PROVENANCE(q) ->
    IDENTIFY_LIFECYCLE_STAGE(q) ->
    MAP_TO_ONTOLOGY(q) ->
    APPLY_REASONING(q) ->
    SCORE_CONFIDENCE(q) ->
    RETURN_RELEVANT_KNOWLEDGE;

# ---------- CONFIDENCE ----------
CONFIDENCE(assertion) :=
    weighted_mean(
        source_reliability,
        knowledge_quality,
        provenance_strength,
        validation_status,
        semantic_consistency,
        contextual_relevance
    );

CONFIDENCE >= 0.90 => HIGH;
CONFIDENCE >= 0.70 AND < 0.90 => MODERATE;
CONFIDENCE < 0.70 => REVIEW;

# ---------- AI CONSUMPTION ----------
AI_CONSUMPTION {
    primary_entity: KnowledgeManagement;
    ontology: KnowledgeManagementOntology;
    parse_entities: true;
    parse_relationships: true;
    preserve_relationship_direction: true;
    resolve_semantic_equivalence: true;
    execute_reasoning_rules: true;
    apply_confidence_weighting: true;
    preserve_provenance: true;
}

# ---------- UPDATE MODEL ----------
UPDATE_MODEL {
    new_knowledge:
        validate
        -> classify
        -> attach_metadata
        -> attach_provenance
        -> confidence_score
        -> integrate;

    knowledge_revision:
        identify_existing_item
        -> preserve_previous_version
        -> validate_new_evidence
        -> update_relationships
        -> recompute_confidence
        -> integrate;

    taxonomy_or_ontology_revision:
        update_concepts
        -> update_relationships
        -> reclassify_affected_knowledge
        -> regenerate_flow_hash;

    conflict:
        preserve_provenance
        -> compare_evidence
        -> reduce_or_adjust_confidence
        -> flag_review;
}

# ---------- FLOW HASH ----------
FLOW_HASH_INPUT :=
    DOMAIN
    + SUBDOMAIN
    + ONTOLOGY
    + KnowledgeEntity
    + KnowledgeType
    + KnowledgeActor
    + KnowledgeResource
    + KnowledgeLifecycle
    + KnowledgeQuality
    + KnowledgeProvenance
    + RELATIONSHIPS
    + SEMANTIC_REASONING
    + SEMANTIC_EQUIVALENCE
    + UPDATE_MODEL;

FLOW_HASH :=
    HASH(FLOW_HASH_INPUT);

# ---------- TERMINAL ----------
KnowledgeManagementOntology
    -> IdentifyKnowledgeNeed
    -> LocateKnowledgeSource
    -> CreateOrCaptureKnowledge
    -> ValidateKnowledge
    -> ClassifyAndRepresent
    -> StoreWithMetadataAndProvenance
    -> ShareAndRetrieve
    -> ApplyKnowledge
    -> ObserveOutcome
    -> CaptureLessons
    -> ReviewAndUpdate
    -> PreserveOrganisationalKnowledge;

END FLOW