# Nature Submission Pack

Generated from the local ontology research KB on 2026-06-25. This pack is a writing aid, not a final submission file.

## Candidate Titles

1. Ontology as the Semantic Operating Layer for Agentic AI
2. Why Agentic AI Needs Ontologies
3. From Knowledge Graphs to Governed Action: Ontology in the Age of LLM Agents
4. The Return of Ontology in Artificial Intelligence
5. Making AI Actionable and Accountable Through Ontology

## Proposed Article Type and Fit

Best fit: a Nature Perspective, Comment, or World View-style synthesis rather than a primary research Article. The project currently provides a cross-field argument, evidence map, and case analysis; it does not yet provide a new experimental result. If targeting a primary Article, the missing piece would be an original benchmark, dataset, controlled evaluation, or field study.

Nature formatting guidance should be checked directly before submission at `https://www.nature.com/nature/for-authors/formatting-guide`. Current planning assumption: keep the abstract/summary close to 200 words, keep references selective, and avoid treating this long evidence map as a full reference list.

## 200-Word Summary Draft

Generative AI has made language interfaces ubiquitous, but reliable real-world action still depends on explicit models of what exists, how entities are identified, which relations and constraints hold, what data may be used, which tools may be invoked, and who remains accountable. Ontologies are therefore re-emerging not as static taxonomies, but as semantic operating layers for agentic AI. This Perspective synthesizes formal ontology and semantic-web standards, scientific ontology infrastructures such as the Gene Ontology and OBO Foundry, recent LLM/knowledge-graph/RAG research, and Palantir's publicly documented Foundry Ontology and AIP architecture. The evidence suggests a shift from ontology as knowledge representation toward ontology as governed action infrastructure: a substrate for retrieval, validation, provenance, policy, tool semantics, permissions, evaluation, and audit. Palantir offers a concrete industrial case in which objects, relationships, actions, functions, permissions, evals, observability, and MCP-based external-agent access are linked through an operational ontology. Yet the same architecture raises questions about classification power, public accountability, vendor dependence, and responsibility boundaries. The central research agenda is not whether LLMs replace ontologies, but how LLMs, ontologies, graph memory, validators, policy engines, and human institutions can be combined into accountable AI systems.

## Five-Section English Structure

1. The semantic gap in agentic AI: why fluent language is not enough for real-world action.
2. Ontology as infrastructure: from formal commitments and semantic-web standards to scientific ontology ecosystems.
3. LLMs meet graphs: ontology-grounded RAG, graph memory, ontology construction, and hallucination mitigation.
4. Palantir as a case study: executable ontology, AIP agents, permissions, evals, observability, and MCP tool exposure.
5. Governance agenda: runtime policy, pre-deployment assurance, public-sector legitimacy, and accountable classification.

## Claim, Evidence, Caveat Table

| Claim | Evidence lane | Caveat |
| --- | --- | --- |
| Ontology is more than taxonomy; it is an explicit semantic commitment. | Gruber, Guarino, ontology design principles, BFO, description logic. | Do not imply all enterprise schemas are formal ontologies. |
| Ontology-backed AI needs lifecycle governance before action. | OntoClean, OOPS!, ontology evolution, NeOn, MIRO, ODK/ROBOT, FAIRsharing. | Automated checks and reporting improve quality but do not replace expert review. |
| Mature ontologies can operate as scientific infrastructure. | Gene Ontology, GO-CAM, OBO Foundry, ODK, ROBOT, HPO, Monarch, DeepGO-SE. | Biomedical success depends on years of curation and community governance. |
| LLM systems need external semantic memory and validation. | LLM+KG surveys, RAG, GraphRAG, OG-RAG, KG-RAG evaluation, MemGraphRAG. | Many graph-RAG systems remain preprint-stage or benchmark-dependent. |
| Ontology can help mitigate hallucination in high-consequence domains. | 2026 JBI clinical QA paper, biomedical RAG/verification protocol, ontology-grounded KG work. | Mitigation is not elimination; claims must stay task- and domain-specific. |
| Palantir shows ontology as an executable operational layer. | Foundry Ontology docs, AIP docs, Ontology MCP, AIP Evals, Observability, decision-centric material. | Official docs support architecture claims, not independent safety or ROI validation. |
| Agent governance needs policy, permission, provenance, and validation outside the LLM. | SHACL, PROV-O, ODRL, data contracts, OpenLineage, AgenticRei, trust-certificate/predeployment-assurance preprints. | Standards and proposals do not prove operational compliance without deployment evidence. |
| AI-ready semantic infrastructure requires schemas, mappings, metadata services, and virtual access layers. | LinkML, SSSOM, Schema.org, Wikidata, Croissant, FAIR Data Point, R2RML/RML, Morph-KGC, OBDA survey, Ontop. | These are infrastructure mechanisms, not proof that any one deployment is governed well. |
| Cross-organization AI needs federated semantics, usage policies, and compliance checks. | IDS Information Model, IDSA semantic interoperability, Dataspace Protocol, Gaia-X ontology/compliance material. | Data-space specifications show architecture direction, not automatic trust or adoption. |
| Permission-aware semantic AI needs executable privacy and access-control context. | DPV, XACML, ODRL, SPARQL Federated Query, Solid, Verifiable Credentials. | Standards are building blocks; deployed compliance still needs implementation and oversight. |
| Industrial AI already has semantic information-model precedents. | OPC UA Address Space Model, SAREF, eCl@ss RDF/OWL, IEC CDD, AAS, Brick Schema. | Industrial standards prove semantic infrastructure availability, not model performance. |
| Ontology-backed AI is sociotechnical classification infrastructure. | Bowker and Star, boundary objects, contextual integrity, AI RMF, NHS FDP evidence. | Avoid inferring misconduct from controversy; use cases to structure governance questions. |

## Priority Reference Candidates

1. `core-gruber-1993-portable-ontology` | A Translation Approach to Portable Ontology Specifications (1993) | peer_reviewed_seminal | academic | https://doi.org/10.1006/knac.1993.1008
2. `core-guarino-1998-formal-ontology-information-systems` | Formal Ontology in Information Systems (1998) | peer_reviewed_seminal | academic | https://dl.acm.org/doi/10.5555/521720.521722
3. `guarino_oberle_staab_2009_what_is_ontology` | What Is an Ontology? (2009) | peer_reviewed | academic | https://doi.org/10.1007/978-3-540-92673-3_0
4. `core-w3c-rdf-11-concepts` | RDF 1.1 Concepts and Abstract Syntax (2014) | official_standard | technical | https://www.w3.org/TR/rdf11-concepts
5. `core-w3c-owl2-overview` | OWL 2 Web Ontology Language Document Overview (2012) | official_standard | technical | https://www.w3.org/TR/owl2-overview
6. `w3c_shacl_2017` | Shapes Constraint Language (SHACL) (2017) | official_standard | technical | https://www.w3.org/TR/shacl
7. `phase2-w3c-prov-o-2013` | PROV-O: The PROV Ontology (2013) | official_standard | technical | https://www.w3.org/TR/prov-o
8. `phase4-std-w3c-odrl-model-2018` | ODRL Information Model 2.2 (2018) | official_standard | technical | https://www.w3.org/TR/odrl-model
9. `guarino_welty_2002_ontoclean` | Evaluating Ontological Decisions with OntoClean (2002) | widely_cited | academic | https://doi.org/10.1145/503124.503150
10. `phase2-poveda-2014-oops` | OOPS! (OntOlogy Pitfall Scanner!): An On-line Tool for Ontology Evaluation (2014) | peer_reviewed | academic | https://doi.org/10.1007/s13740-014-0028-y
11. `phase16-noy-klein-2004-ontology-evolution-schema-evolution` | Ontology Evolution: Not the Same as Schema Evolution (2004) | widely_cited | academic | https://www.sciencedirect.com/science/article/pii/S1570826804000224
12. `phase16-miro-guidelines-minimum-information-reporting-ontology-2017` | MIRO: Guidelines for Minimum Information for the Reporting of an Ontology (2017) | peer_reviewed | academic | https://doi.org/10.1186/s13326-017-0172-7
13. `phase16-fairsharing-community-standards-repositories-policies-2019` | FAIRsharing as a Community Approach to Standards, Repositories and Policies (2019) | peer_reviewed | academic | https://doi.org/10.1038/s41587-019-0080-8
14. `phase14-linkml-open-data-modeling-framework-2026` | LinkML: an open data modeling framework (2026) | peer_reviewed | academic | https://doi.org/10.1093/gigascience/giaf152
15. `phase14-sssom-ontological-mappings-2022` | A Simple Standard for Sharing Ontological Mappings (SSSOM) (2022) | peer_reviewed | academic | https://doi.org/10.1093/database/baac035
16. `phase14-schemaorg-evolution-structured-data-web-2016` | Schema.org: Evolution of Structured Data on the Web (2016) | peer_reviewed | academic | https://doi.org/10.1145/2857274.2857276
17. `phase14-wikidata-free-collaborative-knowledgebase-2014` | Wikidata: a free collaborative knowledgebase (2014) | peer_reviewed | academic | https://doi.org/10.1145/2629489
18. `phase14-xiao-2018-ontology-based-data-access-survey` | Ontology-Based Data Access: A Survey (2018) | peer_reviewed_survey | academic | https://www.ijcai.org/proceedings/2018/0777.pdf
19. `phase14-calvanese-2016-ontop-answering-sparql-relational-databases` | Ontop: Answering SPARQL queries over relational databases (2016) | peer_reviewed | academic | https://doi.org/10.3233/SW-160217
20. `phase4-std-w3c-r2rml-2012` | R2RML: RDB to RDF Mapping Language (2012) | official_standard | technical | https://www.w3.org/TR/r2rml
21. `phase15-w3c-direct-mapping-relational-data-rdf-2012` | A Direct Mapping of Relational Data to RDF (2012) | official_standard | technical | https://www.w3.org/TR/rdb-direct-mapping
22. `phase15-dimou-2014-rml-integrated-rdf-mappings` | RML: A Generic Language for Integrated RDF Mappings of Heterogeneous Data (2014) | peer_reviewed_survey | academic | https://ceur-ws.org/Vol-1184/ldow2014_paper_01.pdf
23. `phase15-arenas-2024-morph-kgc-scalable-kg-materialization` | Morph-KGC: Scalable knowledge graph materialization with mapping partitions (2024) | peer_reviewed | academic | https://doi.org/10.3233/SW-223135
24. `phase15-ids-information-model-ontology-2020` | The International Data Spaces Information Model - An Ontology for Sovereign Exchange of Digital Content (2020) | peer_reviewed | academic | https://doi.org/10.1007/978-3-030-62466-8_12
25. `phase15-dataspace-protocol-2025-1` | Dataspace Protocol 2025-1 (2025) | official_standard | technical | https://eclipse-dataspace-protocol-base.github.io/DataspaceProtocol/2025-1
26. `phase15-gaiax-ontology-compliance-policy-reasoning-2023` | The Role of Ontologies in Gaia-X (2023) | official_docs | technical | https://gaia-x.eu/the-role-of-ontologies-in-gaia-x
27. `phase16-w3c-sparql11-federated-query-2013` | SPARQL 1.1 Federated Query (2013) | official_standard | technical | https://www.w3.org/TR/sparql11-federated-query
28. `phase4-std-dpv-2-0-2024` | Data Privacy Vocabulary (DPV) Version 2.0 (2024) | official_docs | technical | https://www.w3.org/community/reports/dpvcg/CG-FINAL-dpv-20240801
29. `phase16-oasis-xacml-3-policy-access-control-2013` | eXtensible Access Control Markup Language (XACML) Version 3.0 (2013) | official_standard | technical | https://docs.oasis-open.org/xacml/3.0/xacml-3.0-core-spec-os-en.html
30. `phase16-solid-protocol-linked-data-pods-2025` | Solid Protocol (2025) | official_docs | technical | https://solidproject.org/TR/protocol
31. `phase16-opc-ua-address-space-model-10000-3` | OPC Unified Architecture Part 3: Address Space Model (2025) | official_standard | technical | https://reference.opcfoundation.org/Core/Part3
32. `phase16-etsi-saref-smart-applications-reference-ontology` | SAREF: Smart Applications REFerence Ontology (2025) | official_standard | technical | https://saref.etsi.org
33. `phase16-eclass-rdf-owl-product-classification` | eCl@ss in RDF/OWL (2025) | official_docs | technical | https://www.eclass.eu/en/standard/eclassrdfowl
34. `phase16-iec-common-data-dictionary-cdd` | IEC Common Data Dictionary (IEC CDD) (2025) | official_standard | technical | https://cdd.iec.ch
35. `phase14-croissant-ml-ready-dataset-metadata-2024` | Croissant: A Metadata Format for ML-Ready Datasets (2024) | peer_reviewed_survey | academic | https://doi.org/10.1145/3650203.3663326
36. `phase14-fair-data-point-metadata-publication-2023` | FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication (2023) | peer_reviewed | academic | https://doi.org/10.1162/dint_a_00160
37. `phase14-hoyt-gyori-2024-o3-guidelines-curated-resources` | The O3 guidelines: open data, open code, and open infrastructure for sustainable curated scientific resources (2024) | peer_reviewed | academic | https://doi.org/10.1038/s41597-024-03406-w
38. `core-gene-ontology-2000` | Gene Ontology: Tool for the Unification of Biology (2000) | peer_reviewed_seminal | academic | https://doi.org/10.1038/75556
39. `phase7-gene-ontology-knowledgebase-2023` | The Gene Ontology knowledgebase in 2023 (2023) | peer_reviewed | academic | https://doi.org/10.1093/genetics/iyad031
40. `phase7-go-cam-causal-activity-modeling-2019` | Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems (2019) | peer_reviewed | academic | https://doi.org/10.1038/s41588-019-0500-1
41. `smith_etal_2007_obo_foundry` | The OBO Foundry: Coordinated Evolution of Ontologies to Support Biomedical Data Integration (2007) | peer_reviewed | academic | https://doi.org/10.1038/nbt1346
42. `phase7-obo-foundry-2021-operationalizing-open-data-principles` | OBO Foundry in 2021: Operationalizing Open Data Principles to Evaluate Ontologies (2021) | peer_reviewed | academic | https://doi.org/10.1093/database/baab069
43. `phase7-ontology-development-kit-toolkit-2022` | Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies (2022) | peer_reviewed | academic | https://doi.org/10.1093/database/baac087
44. `phase7-robot-automating-ontology-workflows-2019` | ROBOT: A Tool for Automating Ontology Workflows (2019) | peer_reviewed | academic | https://doi.org/10.1186/s12859-019-3002-3
45. `phase7-human-phenotype-ontology-2024` | The Human Phenotype Ontology in 2024: phenotypes around the world (2024) | peer_reviewed | academic | https://doi.org/10.1093/nar/gkad1005
46. `phase7-monarch-initiative-2024` | The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genes and diseases across species (2024) | peer_reviewed | academic | https://doi.org/10.1093/nar/gkad1082
47. `phase7-deepgo-se-semantic-entailment-2024` | Protein function prediction as approximate semantic entailment (2024) | peer_reviewed | academic | https://doi.org/10.1038/s42256-024-00795-w
48. `oa-https-doi-org-10-1145-3447772` | Knowledge Graphs (2021) | peer_reviewed_survey | academic | https://dl.acm.org/doi/10.1145/3447772
49. `oa-https-doi-org-10-1109-tnnls-2021-3070843` | A Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2021) | peer_reviewed_survey | academic | https://ieeexplore.ieee.org/document/9416312
50. `arxiv-2306-08302v3` | Unifying Large Language Models and Knowledge Graphs: A Roadmap (2023) | peer_reviewed_survey | academic | https://arxiv.org/abs/2306.08302
51. `core-lewis-2020-rag` | Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (2020) | peer_reviewed_seminal | academic | https://arxiv.org/abs/2005.11401
52. `core-edge-2024-graphrag` | From Local to Global: A Graph RAG Approach to Query-Focused Summarization (2024) | primary_source | academic | https://arxiv.org/abs/2404.16130
53. `phase6-sharma-2025-og-rag` | OG-RAG: Ontology-Grounded Retrieval-Augmented Generation for Large Language Models (2025) | peer_reviewed | academic | https://aclanthology.org/2025.emnlp-main.1674
54. `phase6-xiang-2025-when-to-use-graphs-rag` | When to Use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation (2025) | preprint_benchmark | academic | https://arxiv.org/abs/2506.05690
55. `phase11-ali-2026-ontology-grounded-kg-clinical-hallucinations` | Ontology-grounded knowledge graphs for mitigating hallucinations in large language models for clinical question answering (2026) | peer_reviewed | academic | https://doi.org/10.1016/j.jbi.2026.104993
56. `phase11-wu-2026-memgraphrag-memory-multi-agent-graphrag` | MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation (2026) | preprint | academic | https://arxiv.org/abs/2606.00610
57. `phase11-oyewale-soru-2026-ontoekg-enterprise-ontology-construction` | LLM-Driven Ontology Construction for Enterprise Knowledge Graphs (2026) | preprint | academic | https://arxiv.org/abs/2602.01276
58. `phase11-soares-wassermann-2026-specific-domain-ontology-construction-llms` | Specific Domain Ontology Construction Using Large Language Models (2026) | preprint | academic | https://arxiv.org/abs/2606.20691
59. `phase11-joshi-2026-deontic-policies-agentic-ai-runtime-governance` | Deontic Policies for Runtime Governance of Agentic AI Systems (2026) | preprint | academic | https://arxiv.org/abs/2606.19464
60. `phase11-tuan-sanyal-2026-predeployment-assurance-ontology-simulation` | Toward Pre-Deployment Assurance for Enterprise AI Agents: Ontology-Grounded Simulation and Trust Certification (2026) | preprint_benchmark | academic | https://arxiv.org/abs/2606.04037
61. `phase11-tuan-sanyal-2026-ontology-constrained-neural-reasoning-enterprise-agents` | Ontology-Constrained Neural Reasoning in Enterprise Agentic Systems: A Neurosymbolic Architecture for Domain-Grounded AI Agents (2026) | preprint | academic | https://arxiv.org/abs/2604.00555
62. `phase11-hamed-rocha-2026-biomedical-rag-majority-voting-verification-protocol` | Protocol for evaluating ChatGPT in biomedical association generation and verification using a RAG-enabled, cross-model majority voting workflow (2026) | peer_reviewed | academic | https://doi.org/10.1016/j.xpro.2026.104533
63. `core-palantir-ontology-overview-2026` | Ontology building: Overview (2026) | official_docs | palantir | https://www.palantir.com/docs/foundry/ontology/overview
64. `core-palantir-aip-overview-2026` | AIP overview (2026) | official_docs | palantir | https://palantir.com/docs/foundry/aip/overview
65. `phase2-pal-ontology-mcp-overview-2026` | Ontology MCP (OMCP) overview (2026) | official_docs | palantir | https://palantir.com/docs/foundry/ontology-mcp/overview
66. `phase2-pal-aip-evals-ontology-edits-2026` | AIP Evals: Evaluate Ontology edits (2026) | official_docs | palantir | https://palantir.com/docs/foundry/aip-evals/ontology-edits
67. `phase2-pal-aip-observability-overview-2026` | AIP observability: Overview (2026) | official_docs | palantir | https://palantir.com/docs/foundry/aip-observability/overview
68. `phase5-palantir-connecting-agents-decisions-2026` | Connecting Agents to Decisions (2026) | primary_source | palantir | https://blog.palantir.com/connecting-agents-to-decisions-277dee8ddb40
69. `phase5-palantir-mcp-hub-announcement-2026` | Discover and manage Ontology MCP servers in MCP Hub (2026) | official_docs | palantir | https://www.palantir.com/docs/foundry/announcements/2026-05
70. `phase3-bowker-star-1999-sorting-things-out` | Sorting Things Out: Classification and Its Consequences (1999) | widely_cited | books | https://mitpress.mit.edu/9780262522953/sorting-things-out
71. `phase3-star-griesemer-1989-boundary-objects` | Institutional Ecology, 'Translations' and Boundary Objects: Amateurs and Professionals in Berkeley's Museum of Vertebrate Zoology, 1907-39 (1989) | widely_cited | academic | https://doi.org/10.1177/030631289019003001
72. `phase3-nissenbaum-2010-privacy-context` | Privacy in Context: Technology, Policy, and the Integrity of Social Life (2010) | widely_cited | books | https://www.sup.org/books/title?id=8862
73. `phase3-selbst-etal-2019-fairness-abstraction` | Fairness and Abstraction in Sociotechnical Systems (2019) | widely_cited | academic | https://doi.org/10.1145/3287560.3287598
74. `phase2-nist-ai-rmf-1-0-2023` | Artificial Intelligence Risk Management Framework (AI RMF 1.0) (2023) | official_standard | technical | https://www.nist.gov/itl/ai-risk-management-framework
75. `phase2-nist-genai-profile-2024` | Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (2024) | official_standard | technical | https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf
76. `phase6-nhs-ndit-fdp-dpia-2026` | FDP Data Protection Impact Assessment: NDIT Identifiable Version v3.0 (2026) | primary_source | palantir | https://www.england.nhs.uk/wp-content/uploads/2025/08/redacted-ndit-nhs-england-fdp-dpia-identifiable-version-v3.0.pdf
77. `phase6-parliament-rewiring-state-2026` | Rewiring the State: Digital Centre of Government (2026) | primary_source | technical | https://committees.parliament.uk/publications/53352/documents/298462/default
78. `phase6-bmj-morley-zhang-fdp-2023` | A Controversial New Federated Data Platform for the NHS in England (2023) | peer_reviewed | academic | https://pubmed.ncbi.nlm.nih.gov/38030152

## Evidence Lanes for Writing

### Foundations and standards

- `core-gruber-1993-portable-ontology` | A Translation Approach to Portable Ontology Specifications (1993) | peer_reviewed_seminal | academic
- `oa-https-doi-org-10-1006-ijhc-1995-1081` | Toward principles for the design of ontologies used for knowledge sharing? (1995) | peer_reviewed_seminal | academic
- `core-guarino-1998-formal-ontology-information-systems` | Formal Ontology in Information Systems (1998) | peer_reviewed_seminal | academic
- `guarino_oberle_staab_2009_what_is_ontology` | What Is an Ontology? (2009) | peer_reviewed | academic
- `core-noy-mcguinness-2001-ontology-101` | Ontology Development 101: A Guide to Creating Your First Ontology (2001) | widely_cited | technical
- `core-baader-2003-description-logic-handbook` | The Description Logic Handbook: Theory, Implementation, and Applications (2003) | scholarly_book | books
- `core-bfo-iso-21838-2` | Information technology - Top-level ontologies - Part 2: Basic Formal Ontology (BFO) (2021) | official_standard | technical
- `core-w3c-rdf-11-concepts` | RDF 1.1 Concepts and Abstract Syntax (2014) | official_standard | technical
- `core-w3c-owl2-overview` | OWL 2 Web Ontology Language Document Overview (2012) | official_standard | technical
- `core-w3c-sparql-11-query` | SPARQL 1.1 Query Language (2013) | official_standard | technical
- `w3c_shacl_2017` | Shapes Constraint Language (SHACL) (2017) | official_standard | technical
- `w3c_skos_reference_2009` | SKOS Simple Knowledge Organization System Reference (2009) | official_standard | technical
- `phase2-w3c-prov-o-2013` | PROV-O: The PROV Ontology (2013) | official_standard | technical
- `p2-llm-ont-032` | Data Catalog Vocabulary (DCAT) - Version 3 (2024) | official_standard | technical
- `phase14-schemaorg-evolution-structured-data-web-2016` | Schema.org: Evolution of Structured Data on the Web (2016) | peer_reviewed | academic
- `phase14-linkml-open-data-modeling-framework-2026` | LinkML: an open data modeling framework (2026) | peer_reviewed | academic
- `phase14-sssom-ontological-mappings-2022` | A Simple Standard for Sharing Ontological Mappings (SSSOM) (2022) | peer_reviewed | academic
- `phase4-std-w3c-r2rml-2012` | R2RML: RDB to RDF Mapping Language (2012) | official_standard | technical

### Ontology quality and lifecycle governance

- `fernandez_lopez_gomez_perez_juristo_1997_methontology` | METHONTOLOGY: From Ontological Art Towards Ontological Engineering (1997) | widely_cited | academic
- `guarino_welty_2002_ontoclean` | Evaluating Ontological Decisions with OntoClean (2002) | widely_cited | academic
- `phase2-poveda-2014-oops` | OOPS! (OntOlogy Pitfall Scanner!): An On-line Tool for Ontology Evaluation (2014) | peer_reviewed | academic
- `suarez_figueroa_2015_neon` | A Scenario-Based Methodology for Ontology Development (2015) | peer_reviewed | academic
- `phase16-noy-klein-2004-ontology-evolution-schema-evolution` | Ontology Evolution: Not the Same as Schema Evolution (2004) | widely_cited | academic
- `phase16-miro-guidelines-minimum-information-reporting-ontology-2017` | MIRO: Guidelines for Minimum Information for the Reporting of an Ontology (2017) | peer_reviewed | academic
- `phase16-fairsharing-community-standards-repositories-policies-2019` | FAIRsharing as a Community Approach to Standards, Repositories and Policies (2019) | peer_reviewed | academic
- `phase7-ontology-development-kit-toolkit-2022` | Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies (2022) | peer_reviewed | academic
- `phase7-robot-automating-ontology-workflows-2019` | ROBOT: A Tool for Automating Ontology Workflows (2019) | peer_reviewed | academic
- `phase6-lippolis-2025-llm-assisting-ontology-evaluation` | Large Language Models Assisting Ontology Evaluation (2025) | peer_reviewed | academic
- `phase6-kampars-2025-llm-collaborative-ontology-design` | LLM-Supported Collaborative Ontology Design for Data and Knowledge Management Platforms (2025) | peer_reviewed | academic

### Scientific ontology infrastructure

- `core-gene-ontology-2000` | Gene Ontology: Tool for the Unification of Biology (2000) | peer_reviewed_seminal | academic
- `phase7-gene-ontology-knowledgebase-2023` | The Gene Ontology knowledgebase in 2023 (2023) | peer_reviewed | academic
- `phase7-go-cam-causal-activity-modeling-2019` | Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems (2019) | peer_reviewed | academic
- `smith_etal_2007_obo_foundry` | The OBO Foundry: Coordinated Evolution of Ontologies to Support Biomedical Data Integration (2007) | peer_reviewed | academic
- `phase7-obo-foundry-2021-operationalizing-open-data-principles` | OBO Foundry in 2021: Operationalizing Open Data Principles to Evaluate Ontologies (2021) | peer_reviewed | academic
- `phase7-ontology-development-kit-toolkit-2022` | Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies (2022) | peer_reviewed | academic
- `phase7-robot-automating-ontology-workflows-2019` | ROBOT: A Tool for Automating Ontology Workflows (2019) | peer_reviewed | academic
- `noy_etal_2009_bioportal` | BioPortal: Ontologies and Integrated Data Resources at the Click of a Mouse (2009) | peer_reviewed | academic
- `phase7-ols4-ontology-lookup-service-2025` | OLS4: a new Ontology Lookup Service for a growing interdisciplinary knowledge ecosystem (2025) | peer_reviewed | academic
- `phase7-ontobee-linked-ontology-server-2016` | Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration (2016) | peer_reviewed | academic
- `phase7-bioregistry-biomedical-entity-identification-2022` | Unifying the identification of biomedical entities with the Bioregistry (2022) | peer_reviewed | academic
- `wilkinson_etal_2016_fair` | The FAIR Guiding Principles for Scientific Data Management and Stewardship (2016) | peer_reviewed | academic
- `phase7-ro-crate-packaging-research-artefacts-2022` | Packaging research artefacts with RO-Crate (2022) | peer_reviewed | academic
- `phase7-human-phenotype-ontology-2024` | The Human Phenotype Ontology in 2024: phenotypes around the world (2024) | peer_reviewed | academic
- `phase7-monarch-initiative-2024` | The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genes and diseases across species (2024) | peer_reviewed | academic
- `phase7-edam-bioinformatics-ontology-2013` | EDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formats (2013) | peer_reviewed | academic
- `phase7-deepgo-se-semantic-entailment-2024` | Protein function prediction as approximate semantic entailment (2024) | peer_reviewed | academic

### LLM, KG, RAG, and ontology engineering

- `arxiv-2306-08302v3` | Unifying Large Language Models and Knowledge Graphs: A Roadmap (2023) | peer_reviewed_survey | academic
- `oa-https-doi-org-10-1145-3447772` | Knowledge Graphs (2021) | peer_reviewed_survey | academic
- `oa-https-doi-org-10-1109-tnnls-2021-3070843` | A Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2021) | peer_reviewed_survey | academic
- `core-lewis-2020-rag` | Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (2020) | peer_reviewed_seminal | academic
- `core-edge-2024-graphrag` | From Local to Global: A Graph RAG Approach to Query-Focused Summarization (2024) | primary_source | academic
- `phase6-sharma-2025-og-rag` | OG-RAG: Ontology-Grounded Retrieval-Augmented Generation for Large Language Models (2025) | peer_reviewed | academic
- `phase6-oarga-2026-scientific-kg-ontology-open-llms` | Scientific Knowledge Graph and Ontology Generation Using Open Large Language Models (2026) | peer_reviewed | academic
- `phase6-zhou-2025-kg-rag-incompleteness` | Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness (2025) | preprint | academic
- `phase6-xiang-2025-when-to-use-graphs-rag` | When to Use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation (2025) | preprint_benchmark | academic
- `phase11-ali-2026-ontology-grounded-kg-clinical-hallucinations` | Ontology-grounded knowledge graphs for mitigating hallucinations in large language models for clinical question answering (2026) | peer_reviewed | academic
- `phase11-wu-2026-memgraphrag-memory-multi-agent-graphrag` | MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation (2026) | preprint | academic
- `ont-ai-024` | KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation (2024) | secondary_source | academic
- `ont-ai-022` | LightRAG: Simple and Fast Retrieval-Augmented Generation (2024) | secondary_source | academic
- `ont-ai-023` | HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models (2024) | peer_reviewed | academic
- `phase2-gutierrez-2025-hipporag2` | From RAG to Memory: Non-Parametric Continual Learning for Large Language Models (2025) | peer_reviewed | academic
- `phase5-liu-2025-ontology-guided-reverse-thinking-kgqa` | Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering (2025) | peer_reviewed | academic
- `phase6-sui-2025-fidelis-kgqa` | FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering (2025) | peer_reviewed | academic
- `phase2-li-garijo-poveda-2025-llm-oe-review` | Large Language Models for Ontology Engineering: A Systematic Literature Review (2025) | peer_reviewed_survey | academic

### Palantir operational case

- `core-palantir-ontology-overview-2026` | Ontology building: Overview (2026) | official_docs | palantir
- `core-palantir-aip-overview-2026` | AIP overview (2026) | official_docs | palantir
- `phase2-pal-ontology-mcp-overview-2026` | Ontology MCP (OMCP) overview (2026) | official_docs | palantir
- `phase2-pal-aip-evals-ontology-edits-2026` | AIP Evals: Evaluate Ontology edits (2026) | official_docs | palantir
- `phase2-pal-aip-observability-overview-2026` | AIP observability: Overview (2026) | official_docs | palantir
- `pal-doc-aip-ethics-governance-2026` | AI ethics and governance (2026) | official_docs | palantir
- `phase3-pal-mcp-installation-2026` | Palantir MCP: Installation (2026) | official_docs | palantir
- `phase3-pal-mcp-security-2026` | Palantir MCP: Security - Data governance (2026) | official_docs | palantir
- `phase5-palantir-connecting-agents-decisions-2026` | Connecting Agents to Decisions (2026) | primary_source | palantir
- `phase5-palantir-mcp-hub-announcement-2026` | Discover and manage Ontology MCP servers in MCP Hub (2026) | official_docs | palantir
- `phase5-palantir-foundry-platform-summary-llm-2026` | Foundry platform summary for LLMs (2026) | official_docs | palantir

### Governance and sociotechnical critique

- `phase3-star-griesemer-1989-boundary-objects` | Institutional Ecology, 'Translations' and Boundary Objects: Amateurs and Professionals in Berkeley's Museum of Vertebrate Zoology, 1907-39 (1989) | widely_cited | academic
- `phase3-bowker-star-1999-sorting-things-out` | Sorting Things Out: Classification and Its Consequences (1999) | widely_cited | books
- `phase3-star-ruhleder-1996-ecology-infrastructure` | Steps Toward an Ecology of Infrastructure: Design and Access for Large Information Spaces (1996) | widely_cited | academic
- `phase3-nissenbaum-2010-privacy-context` | Privacy in Context: Technology, Policy, and the Integrity of Social Life (2010) | widely_cited | books
- `phase3-selbst-etal-2019-fairness-abstraction` | Fairness and Abstraction in Sociotechnical Systems (2019) | widely_cited | academic
- `phase3-raji-etal-2020-accountability-gap` | Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing (2020) | peer_reviewed | academic
- `phase2-nist-ai-rmf-1-0-2023` | Artificial Intelligence Risk Management Framework (AI RMF 1.0) (2023) | official_standard | technical
- `phase2-nist-genai-profile-2024` | Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (2024) | official_standard | technical
- `phase2-eu-ai-act-2024` | Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) (2024) | official_standard | technical
- `nhs-fdp-contract-explainer-2026` | NHS Federated Data Platform: Contract explainer (2026) | primary_source | technical
- `phase6-nhs-fdp-contracts-finder-2024` | Federated Data Platform and Associated Services (2024) | primary_source | palantir
- `phase6-nhs-ndit-fdp-dpia-2026` | FDP Data Protection Impact Assessment: NDIT Identifiable Version v3.0 (2026) | primary_source | palantir
- `phase6-parliament-rewiring-state-2026` | Rewiring the State: Digital Centre of Government (2026) | primary_source | technical
- `phase6-ico-dhsc-fdp-foi-2026` | Department of Health & Social Care Decision Notice IC-413447-N9X2 (2026) | primary_source | technical
- `phase6-bmj-morley-zhang-fdp-2023` | A Controversial New Federated Data Platform for the NHS in England (2023) | peer_reviewed | academic
- `phase6-digital-health-ndg-palantir-access-2026` | Data Guardian Seeks Clarification on Palantir Patient Data Access (2026) | secondary_source | commercial
- `nhs-fdp-privacy-notice-2024` | NHS Federated Data Platform privacy notice (2024) | primary_source | technical
- `bmj-palantir-nhs-contract-2023` | Palantir gets contract to run NHS data platform (2023) | secondary_source | technical

## Overclaim Guardrails

- Do not claim that Palantir proves ontology-based AI is safe, fair, or generally superior.
- Do not cite commercial or vendor material as academic validation; use it for architecture and adoption signals only.
- Treat arXiv 2026 sources as frontier direction unless independently peer-reviewed.
- Keep biomedical hallucination mitigation claims domain- and task-specific.
- Separate ontology construction from ontology governance: LLMs may draft structures, but expert review, constraints, versioning, provenance, and maintenance remain central.
- Distinguish runtime governance, pre-deployment assurance, post-deployment observability, and human accountability.

## Current KB Metrics

- Deduplicated sources: 803
- Core sources: 150
- Candidate sources: 332
- Retrieval chunks: 2157
- Extracted claims: 1307
- Graph entities: 1804
- Graph relations: 16721