{"id":50670376,"url":"https://github.com/9bow/learn-ontology","last_synced_at":"2026-06-08T10:33:45.182Z","repository":{"id":359046276,"uuid":"1243296638","full_name":"9bow/learn-ontology","owner":"9bow","description":"온톨로지 학습 사이트 — 65챕터로 정리한 개념·기술·산업 적용·LLM 결합","archived":false,"fork":false,"pushed_at":"2026-05-20T05:59:12.000Z","size":501,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-05-20T09:17:54.928Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"MDX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/9bow.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-05-19T08:04:07.000Z","updated_at":"2026-05-20T05:59:17.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/9bow/learn-ontology","commit_stats":null,"previous_names":["9bow/learn-ontology"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/9bow/learn-ontology","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/9bow%2Flearn-ontology","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/9bow%2Flearn-ontology/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/9bow%2Flearn-ontology/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/9bow%2Flearn-ontology/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/9bow","download_url":"https://codeload.github.com/9bow/learn-ontology/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/9bow%2Flearn-ontology/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34059156,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-08T02:00:07.615Z","response_time":111,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-06-08T10:33:44.232Z","updated_at":"2026-06-08T10:33:45.172Z","avatar_url":"https://github.com/9bow.png","language":"MDX","funding_links":[],"categories":[],"sub_categories":[],"readme":"# learn-ontology\n\n온톨로지(Ontology)의 개념·표현 언어·산업 적용·LLM 결합까지, 65챕터로 정리한 한국어 학습 사이트입니다. Palantir Foundry/AIP, GraphRAG, FIBO·SNOMED CT 같은 실제 적용 사례와 RDF/OWL/SHACL/SPARQL 같은 핵심 기술을 한 호흡으로 다룹니다.\n\n배포 URL: \u003chttps://9bow.github.io/learn-ontology\u003e\n\n## 대상\n\n- 지식그래프·시맨틱 데이터 인프라를 설계하는 데이터/AI 엔지니어\n- Palantir Foundry·AIP 또는 유사 플랫폼 도입을 검토하는 솔루션 아키텍트\n- LLM의 환각·다중 홉 추론 문제를 KG로 보강하려는 AI 엔지니어\n- 도메인 온톨로지(의료·금융·제조)를 다루는 도메인 전문가와 PM\n\n## 구성\n\n- 13개 섹션 / 65개 MDX 챕터 / 13개 섹션별 퀴즈 (총 ~150 문항)\n- Astro 6 + Starlight + React 19 기반, 한국어 단일 로캘\n- Mermaid 다이어그램, 인터랙티브 퀴즈, 펼침 개념 카드 지원\n- Google Analytics 4 통합\n\n## 커리큘럼\n\n1. **온톨로지란 무엇인가** — 철학에서 정보과학까지, Gruber의 정의, KG와의 차이\n2. **구성요소와 추론** — Class·Property·Axiom·Reasoning·OWA/CWA\n3. **표현 언어** — RDF / RDFS / OWL 2 / SHACL / SKOS / RDF-star\n4. **SPARQL과 질의** — SELECT~Federated Query, GQL 표준 비교\n5. **개발 방법론과 거버넌스** — METHONTOLOGY·NeOn·Ontology 101·FAIR\n6. **Palantir Foundry \u0026 AIP의 Ontology** — Objects·Links·Actions와 도입 사례\n7. **구현 기술 스택** — Protégé·GraphDB·Neptune·Ontop·HermiT·Cloud 비교\n8. **LLM × Ontology × Knowledge Graph** — GraphRAG·Text-to-SPARQL·Neuro-symbolic\n9. **산업 심화: 의료·생명과학** — SNOMED CT·FHIR·GO·NHS Federated Data Platform\n10. **산업 심화: 금융** — FIBO·Bloomberg KG·AML·ESG 통합\n11. **산업 심화: 제조·공급망·과학** — Siemens·Digital Twin·Open Research KG\n12. **한국의 온톨로지/KG 사례** — ETRI·네이버·카카오·공공데이터·한국어 특수성\n13. **도입·운영 전략** — ROI·거버넌스·실패 패턴·2025~2027 로드맵\n\n## 로컬 개발\n\n```bash\npnpm install\npnpm dev       # http://localhost:4321\npnpm build\npnpm preview\n```\n\n## 주요 경로\n\n- 문서 본문: `src/content/docs/\u003csection\u003e/`\n- 퀴즈 데이터: `public/data/quiz/\u003csection\u003e.json`\n- 인터랙티브 컴포넌트: `src/components/learning/`\n- 사이트 설정: `astro.config.mjs`\n- 배포 워크플로: `.github/workflows/deploy.yml`\n\n## 기여\n\n오탈자·사실 오류·예시 보강은 PR 환영합니다. 참고문헌은 가능한 한 stable primary source(arXiv, W3C, Wikipedia oldid, 공식 블로그)를 사용합니다.\n\n## 라이선스\n\n학습 콘텐츠는 CC BY-SA 4.0, 소스 코드는 MIT를 따릅니다.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F9bow%2Flearn-ontology","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F9bow%2Flearn-ontology","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F9bow%2Flearn-ontology/lists"}