{
  "schema_version": "PERMANITAI-LINKAGE-V1",
  "purpose": "Externe Verknüpfungen: Wikidata, GitHub, ORCID, Zenodo, Schema.org — für maschinelle Auffindbarkeit und Linked-Open-Data-Integration",
  "created": "2026-04-17",
  "license": "CC BY-NC-ND 4.0",
  "publication_disclaimer": "PUBLISHED V1.0 — Akademisches Forschungsframework. Sport- und akademische Credentials sind verifizierbar über ORCID. Wikidata-Mappings und GitHub-Referenzen sind Zielzustände in Arbeit. Lizenz: CC BY-NC-ND 4.0.",

  "wikidata_entities": {
    "_disclaimer": "Proposed Wikidata items — Notability-Prüfung, Quellenrecherche und unabhängige Rezeption erforderlich vor Einreichung.",
    "proposed_new_items": [
      {
        "label_en": "PERMANITAI",
        "label_de": "PERMANITAI",
        "description_en": "Universal performance factor analysis framework for intelligent entities, business teams, and world-class performers — AI models, agents, robots, drones, hybrid systems, organizations, managers, and elite performers",
        "description_de": "Universelles Leistungsfaktorenanalyse-Framework für intelligente Entitäten, Business-Teams und Weltklasse-Performer — KI-Modelle, Agenten, Roboter, Drohnen, Hybridsysteme, Organisationen, Führungskräfte und Elite-Performer",
        "instance_of": ["Q1437302"],
        "subclass_of": ["Q7168932"],
        "creator": "ORCID:0009-0006-3773-7796",
        "part_of_series": "MANITAI framework ecosystem",
        "claims_proposed": {
          "P31": "Q1437302 (analytical framework)",
          "P279": "Q7168932 (performance analysis)",
          "P170": "Andreas Ehstand (ORCID:0009-0006-3773-7796)",
          "P275": "Q6905942 (CC BY-NC-ND 4.0)",
          "P571": "+2026-04-17T00:00:00Z",
          "P1324": "https://github.com/[repo]/permanitai-framework"
        }
      },
      {
        "label_en": "Andreas Ehstand",
        "label_de": "Andreas Ehstand",
        "description_en": "German AI researcher in AI terminology and sports performance analysis; developer of AUGMANITAI, NEOMANITAI, and PERMANITAI frameworks",
        "description_de": "Deutscher KI-Forscher für KI-Terminologie und Sport-Leistungsanalyse; Entwickler der AUGMANITAI-, NEOMANITAI- und PERMANITAI-Frameworks",
        "instance_of": ["Q5"],
        "claims_proposed": {
          "P31": "Q5 (human)",
          "P106": ["Q1650915 (researcher)", "Q4895261 (sports coach)"],
          "P496": "0009-0006-3773-7796",
          "P69": ["Q156725 (Universität Bayreuth)", "Q317887 (TU Dortmund)"],
          "P800": "AUGMANITAI Compendium, NEOMANITAI, PERMANITAI",
          "P101": ["Q11660 (artificial intelligence)", "Q7168932 (performance analysis)", "Q7913 (terminology)"]
        }
      },
      {
        "label_en": "AUGMANITAI",
        "label_de": "AUGMANITAI",
        "description_en": "1000-term empirical compendium of AI behavioral terminology, DOI-published on Zenodo, ISO 704/1087/30042 compliant",
        "description_de": "1000-Term empirisches Compendium der KI-Verhaltens-Terminologie, DOI-publiziert auf Zenodo, ISO 704/1087/30042-kompatibel",
        "instance_of": ["Q22808320"],
        "claims_proposed": {
          "P31": "Q22808320 (terminology)",
          "P170": "Andreas Ehstand",
          "P275": "Q6905942 (CC BY-NC-ND 4.0)",
          "P1433": "Q26874027 (Zenodo)"
        }
      },
      {
        "label_en": "NEOMANITAI",
        "label_de": "NEOMANITAI",
        "description_en": "Extended AI terminology framework with 6182 terms across 54 domains, expanding the AUGMANITAI Compendium",
        "description_de": "Erweitertes KI-Terminologie-Framework mit 6182 Termen in 54 Domänen, Erweiterung des AUGMANITAI Compendiums",
        "instance_of": ["Q22808320"],
        "claims_proposed": {
          "P31": "Q22808320 (terminology)",
          "P170": "Andreas Ehstand",
          "P361": "AUGMANITAI ecosystem"
        }
      }
    ],

    "existing_items_to_link": [
      {"qid": "Q7168932", "label": "performance analysis", "relation": "PERMANITAI is subclass_of"},
      {"qid": "Q11660", "label": "artificial intelligence", "relation": "PERMANITAI applies to domain"},
      {"qid": "Q11012", "label": "robot", "relation": "PERMANITAI applies to domain"},
      {"qid": "Q484000", "label": "drone", "relation": "PERMANITAI applies to domain"},
      {"qid": "Q189746", "label": "sports science", "relation": "PERMANITAI derives methodology from"},
      {"qid": "Q6002159", "label": "ISO 704", "relation": "AUGMANITAI compliant with"},
      {"qid": "Q51044", "label": "ORCID", "relation": "Andreas Ehstand identified by 0009-0006-3773-7796"},
      {"qid": "Q26874027", "label": "Zenodo", "relation": "AUGMANITAI published on"},
      {"qid": "Q156725", "label": "University of Bayreuth", "relation": "Andreas Ehstand affiliated with"},
      {"qid": "Q317887", "label": "TU Dortmund University", "relation": "Andreas Ehstand affiliated with"},
      {"qid": "Q1437302", "label": "analytical framework", "relation": "PERMANITAI instance of"},
      {"qid": "Q7913", "label": "terminology", "relation": "AUGMANITAI instance of"},
      {"qid": "Q395", "label": "mathematics", "relation": "performance factor analysis uses methods from"},
      {"qid": "Q847", "label": "tennis", "relation": "origin domain of Leistungsfaktorenanalyse transfer"},
      {"qid": "Q2736", "label": "association football", "relation": "cross-entity comparison domain"}
    ]
  },

  "github_integration": {
    "_disclaimer": "Repository live.",
    "proposed_repository": {
      "name": "permanitai-framework",
      "description": "PERMANITAI: Universal Performance Factor Analysis Framework for Intelligent Entities — from AI users to robot swarms",
      "topics": ["performance-analysis", "ai-evaluation", "robotics", "terminology", "sports-science", "knowledge-graph", "multi-agent", "human-ai-interaction"],
      "files": {
        "README.md": "Framework overview, 5 factors × 9 domains, academic grounding, citation info",
        "PERMANITAI_KG_CORE.json": "Core Knowledge Graph — 48 nodes, 109 edges",
        "PERMANITAI_KG_Explorer.html": "Interactive neon-dark graph explorer",
        "PERMANITAI_LINKAGE.json": "This file — external platform connections",
        "LICENSE": "CC BY-NC-ND 4.0",
        "CITATION.cff": "Citation metadata"
      }
    },
    "existing_repos_to_link": [
      {"repo": "augmanitai-compendium", "action": "Add PERMANITAI reference in README, link as extension framework"},
      {"repo": "neomanitai-kg", "action": "Add PERMANITAI as new domain node, link to ROB/EDU/JOB domains"},
      {"repo": "robmanitai", "action": "Note subsumption by PERMANITAI in README"}
    ]
  },

  "schema_org_jsonld_ENTWURF": {
    "_disclaimer": "Schema.org JSON-LD für Einbettung in GitHub Pages und HTML-Artefakte.",
    "@context": "https://schema.org",
    "@type": "CreativeWork",
    "name": "PERMANITAI — PERformance MANagement Integrated Taxonomy for AI",
    "description": "Universal performance factor analysis framework transferring sports science methodology to AI, agents, robots, drones, hybrid systems, business teams, world-class performers, and organizational leadership",
    "author": {
      "@type": "Person",
      "name": "Andreas Ehstand",
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "ORCID",
        "value": "0009-0006-3773-7796"
      },
      "affiliation": [
        {"@type": "Organization", "name": "University of Bayreuth (former)"},
        {"@type": "Organization", "name": "TU Dortmund University (former)"}
      ]
    },
    "license": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
    "dateCreated": "2026-04-17",
    "isPartOf": {
      "@type": "CreativeWork",
      "name": "MANITAI Framework Ecosystem"
    },
    "about": [
      {"@type": "Thing", "name": "Performance Factor Analysis"},
      {"@type": "Thing", "name": "Artificial Intelligence Evaluation"},
      {"@type": "Thing", "name": "Robotics"},
      {"@type": "Thing", "name": "Multi-Agent Systems"},
      {"@type": "Thing", "name": "Human-AI Interaction"}
    ],
    "keywords": "performance analysis, Leistungsfaktorenanalyse, AI evaluation, robotics, multi-agent systems, sports science transfer, knowledge graph, terminology, business performance, world-class performer, manager performance, elite performance management, organizational analysis, leadership diagnostics"
  },

  "orcid_integration": {
    "orcid": "0009-0006-3773-7796",
    "works_to_add": [
      {
        "title": "PERMANITAI: Universal Performance Factor Analysis for Intelligent Entities",
        "type": "other",
        "publication_date": "2026-04-17",
        "external_ids": {"source": "github", "value": "permanitai-framework"}
      }
    ]
  },

  "crossref_with_existing_kg": {
    "neomanitai_kg_core_domains_linked": [
      {"domain": "ROB", "term_count": 300, "relation": "PERMANITAI DOM-ROB subsumes ROB domain"},
      {"domain": "EDU", "term_count": 100, "relation": "PERMANITAI DOM-USR + DOM-AIM maps to EDU"},
      {"domain": "BEH", "term_count": 95, "relation": "PERMANITAI PF-PSY maps to BEH domain"},
      {"domain": "COG", "term_count": 194, "relation": "PERMANITAI PF-PSY + PF-TAK maps to COG domain"},
      {"domain": "CRE", "term_count": 235, "relation": "PERMANITAI PF-TEC + PF-TAK maps to CRE domain"},
      {"domain": "PER", "term_count": 138, "relation": "PERMANITAI DOM-USR maps to PER domain"},
      {"domain": "AUG", "term_count": 44, "relation": "PERMANITAI extends AUG core concepts"}
    ],
    "augmanitai_terms_directly_relevant": [
      "AUG-0722 (The Infrastructure Constraint) → PF-PHY/DOM-USR",
      "AUG-0142 (The Post-Interface Hypothesis) → PF-TEC/DOM-HYB",
      "AUG-0015 (The Outer Mind) → PF-PSY/DOM-USR"
    ]
  }
}
