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Parse to quads, generate back, merge documents. The human-friendly semantic web format.","maintainers":[{"name":"davay","email":"davay@frkt.ru"}],"readme":"# MD-LD\n\n**Markdown-Linked Data** — Write RDF knowledge graphs as plain Markdown. Parse to quads, generate back, merge documents. Zero dependencies, round-trip safe.\n\nMD-LD is the only RDF format that is both writable by humans and parseable by machines in the same document. Unlike Turtle (write-only), JSON-LD (machine-only), and RDFa (embedded-in-HTML-only), MD-LD annotations flow with natural Markdown prose — making knowledge graphs readable without a renderer.\n\n**[mdld.js.org](https://mdld.js.org/)**\n\n[![NPM](https://img.shields.io/npm/v/mdld-parse)](https://www.npmjs.com/package/mdld-parse/)\n\n## 🎯 What is MD-LD?\n\nMD-LD is not just another RDF syntax. It's a **universal semantic writing interface** that removes the intermediary between human text and machine-readable graphs.\n\nTraditional systems require:\n```\nHuman → UI → App Logic → Hidden Database → APIs → Exports\n```\n\nMD-LD enables:\n```\nHuman text → Graph immediately\n```\n\n**Core value:** Author and maintain knowledge graphs as plain text with deterministic round-trip safety. No platforms, databases, or proprietary SaaS mediation required.\n\n```markdown\n[ex] <tag:ame@example.com,2026:>\n\n# Alice {=ex:alice .prov:Person label}\n\n[Alice Smith] {ex:fullName}\n[alice@example.com] {ex:email}\n```\n\n**Generates RDF quads** that work with n3.js, rdflib, and any RDF/JS-compatible library.\n\n\n## 🚀 Quick Start\n\n```bash\npnpm install mdld-parse\n```\n\n```javascript\nimport { parse, generate, merge, render, deconstruct } from 'mdld-parse';\n\n// Parse MDLD to RDF quads\nconst result = parse({ text: mdldString });\nconsole.log(result.quads); // RDF/JS quads\nconsole.log(result.primary); // Primary metadata (subject, type, label, comment)\nconsole.log(result.statements); // Elevated statements\nconsole.log(result.origin); // Provenance tracking\n\n// Generate MDLD from quads\nconst { text } = generate({ quads: result.quads });\n\n// Render to semantic HTML with preserved annotations\nconst html = render(mdldString);\n\n// Reconstruct MDLD from HTML (lossless roundtrip)\nconst reconstructed = deconstruct(html);\nconst quads = parse(reconstructed).quads; // Same quads as original!\n\n// Lossy rendering for privacy-preserving publishing\nconst cleanHtml = render(parse(mdldString).md);\n\n// Merge multiple documents (CRDT-style)\nconst merged = merge([doc1, doc2, doc3]);\n```\n\n## 💡 Why MD-LD?\n\n### The Problem with Current Systems\n\nMost software today uses graphs internally but hides them behind UIs:\n- **Notion, Slack, Google Docs** — Human interfaces over hidden graphs\n- **CRMs, task apps, note apps** — Proprietary data silos\n- **Social networks** — Platform-controlled knowledge prisons\n\nUsers cannot access the graph directly. Semantics are hidden. Data is locked in products.\n\n### The MD-LD Solution\n\nMD-LD removes the intermediary. Writing becomes publishing. Publishing becomes graph construction.\n\n**Key benefits:**\n\n- **Graph sovereignty** — You own text, graph, provenance, execution, history\n- **No central platform required** — Works offline, in browsers, on servers\n- **Universal semantic substrate** — Agents can read, reason, write, execute, validate\n- **Continuous semantic narrative** — Unifies chat, tasks, notes, emails, calendar, files\n- **Native time dimension** — Every action, statement, correction becomes part of the graph\n- **Decentralized authority** — RFC 4151 tag: URIs enable self-sovereign identity without central registries\n- **Text-native agent memory**  - LLM Agent memory substrate in plain text — parse context, write knowledge, merge with other agents, all as Markdown files. No database required.\n\n\n### Real-World Applications\n\n#### Personal Knowledge Management\n```markdown\n[alice] <tag:alice@example.com,2026:>\n\n# Meeting Notes {=alice:meeting-2024-01-15 .alice:Meeting label}\n\nAttendees:\n**Alice** {+alice:alice ?alice:attendee label}\n**Bob** {+alice:bob ?alice:attendee label}\n\nAction items:\n**Review proposal** {+alice:task-1 ?alice:actionItem label}\n```\n\n#### Developer Documentation\n```markdown\n[api] <tag:brian@example.org,2026:app/api/>\n# Get User by ID {=api:/users/:id .api:Endpoint label}\n\nMethod: [GET] {+api:methods/GET ?api:method}\nPath: [/users/:id] {api:path}\nStatus: [OK] {api:status}\n```\n\n#### Academic Research\n```markdown\n[alice] <tag:alice@example.org,2026:>\n# Semantic Web {=alice:research/paper-semantic-markdown .alice:ScholarlyArticle label}\nIs part of [semantic research] {+alice:research/semantic !member}\n\nAuthored by [Alice Johnson] {+alice:alice-johnson ?alice:author} on [2026-08-12] {alice:datePublished ^^xsd:date}.\n```\n\n#### Content Management\n```markdown\n[blog] <tag:justin@example.org,2026:>\n# Understanding MD-LD {=blog:post-mdld .blog:Post label}\n\n[MD-LD] {blog:emphasized} allows you to embed RDF directly in Markdown.\n```\n\n#### Local-First Personal Knowledge Base\n```markdown\n[alice] <tag:alice@example.com,2026:>\n\n# Meeting with Bob {=alice:meeting-2026-01-21 .Meeting label}\nAttendees: [Alice] {=alice:alice}, [Bob] {+alice:bob ?attendees}\nLocation: [Coffee Shop] {alice:location}\nDiscussed [Project Alpha] {alice:discussed}\n\n## ✨ Core Features\n\n- **🔗 Prefix folding** — Build hierarchical namespaces with CURIE-based IRI authoring\n- **📍 Subject declarations** — `{=IRI}` and `{=#fragment}` for context setting\n- **🎯 Object IRIs** — `{+IRI}` and `{+#fragment}` for temporary object declarations\n- **🔄 Three predicate forms** — `p` (S→L), `?p` (S→O), `!p` (O→S)\n- **🏷️ Type declarations** — `.Class` for rdf:type triples\n- **📅 Datatypes & language** — `^^xsd:date` and `@en` support\n- **🧩 Fragments** — Document structuring with `{=#fragment}`\n- **⚡ Polarity system** — Sophisticated diff authoring with `+` and `-` prefixes\n- **📍 Origin tracking** — Complete provenance with lean quad-to-source mapping\n- **🔗 Span chains** — Walkable textual topology between semantic blocks for context recovery and resonance\n- **🎯 Elevated statements** — Automatic rdf:Statement pattern detection\n- **🏷️ Primary metadata quartet** — Subject, type, label, comment for document identity\n- **🔄 Round-trip safety** — Deterministic parse ↔ generate cycles\n- **🌐 HTML Codec** — Lossless `render()` and `deconstruct()` pair for web publishing\n\n**Bundle size:** 101KB unminified, 24KB gzipped\n\n## 📦 Installation\n\n### Node.js\n\n```bash\npnpm install mdld-parse\nnode -e \"\nimport { parse } from 'mdld-parse';\nconsole.log(parse({ text: '# Test {=tag:test@example.org,2026:index .prov:Entity label}' }));\n\"\n```\n\n### Browser ESM (importmap)\n\n```html\n<script type=\"importmap\">\n{\n  \"imports\": {\n    \"mdld-parse\": \"https://cdn.jsdelivr.net/npm/mdld-parse/+esm\",\n  }\n}\n</script>\n<script type=\"module\">\n  import { parse } from 'mdld-parse';\n  const result = parse('[ex] <tag:my@example.com,2026:test/>\\n\\n# Hello {=ex:init .prov:Activity label}');\n</script>\n```\n\n### Example use in browser console\n\nYou can copy and paste this code into your browser console to see the list of tasks as an easy to render JSON object. \n\n```javascript\nconst mdld = await import('https://cdn.jsdelivr.net/npm/mdld-parse/+esm')\n\nconst text = `[my] <tag:alice@example.org:>\n\n# Tasks {=my:tasks .prov:Collection label}\n\n## Task 1 {=my:tasks/1 .prov:Activity label}\nOne of my [urgent] {my:tasks/status} [tasks] {+my:tasks !prov:hadMember}\n> Explore deeper the concept of a triple in RDF {comment}\n\n## Task 2 {=my:tasks/2 .prov:Activity label}\nOne of my [tasks] {+my:tasks !prov:hadMember}\n> Start building knowledge graphs {comment}\n`;\n\nconst result = parse({ text });\n\nfunction extractByType (quads, type) {\n  return Object.values(\n    quads.reduce((acc, q) => {\n      const s = q.subject.value;\n      const key = q.predicate.value.split(/[#/]/).pop();\n\n      (acc[s] ??= { iri: s })[key] = q.object.value;\n\n      return acc;\n    }, {})\n  )\n  .filter(x => x.type === type)\n  .map(({ type, ...x }) => x);\n}\n\nconst tasks = extractByType(result.quads,\"http://www.w3.org/ns/prov#Activity\")\n\nconsole.log(tasks);\n/*\n[\n  {\n    \"iri\": \"tag:alice@example.org:tasks/1\",\n    \"label\": \"Task 1\",\n    \"status\": \"urgent\",\n    \"comment\": \"Explore deeper the concept of a triple in RDF\"\n  },\n  {\n    \"iri\": \"tag:alice@example.org:tasks/2\",\n    \"label\": \"Task 2\",\n    \"comment\": \"Start building knowledge graphs\"\n  }\n]\n*/\n```\n\n## 🧠 Semantic Model\n\nMD-LD encodes a directed labeled multigraph where three nodes may be in scope:\n\n- **S** — current subject (IRI)\n- **O** — object resource (IRI from link/image)\n- **L** — literal value (string + optional datatype/language)\n\n### Predicate Routing\n\nEach predicate form determines the graph edge:\n\n| Form  | Edge    | Example                      | Meaning          |\n|-------|---------|------------------------------|------------------|\n| `p`   | S → L   | `[Alice] {label}`            | literal property |\n| `?p`  | S → O   | `[NASA] {=ex:nasa ?org}`     | object property  |\n| `!p`  | O → S   | `[Parent] {=ex:p !hasPart}`  | reverse object   |\n\n## 🎨 Syntax Quick Reference\n\n### Subject Declaration\n\nSet current subject (emits no quads):\n\n```markdown\n[ex] <tag:nasa@example.org,2026:>\n## Apollo 11 {=ex:apollo11}\n```\n\n### Type Declaration\n\nEmit `rdf:type` triple:\n\n```markdown\n[ex] <tag:nasa@example.org,2026:>\n## Apollo 11 {=ex:apollo11 .ex:SpaceMission .prov:Entity}\n```\n\n### Literal Properties\n\nInline value carriers emit literal properties:\n\n```markdown\n[ex] <tag:nasa@example.org,2026:>\n# Mission {=ex:apollo11}\n[Neil Armstrong] {ex:commander}\n[1969] {ex:year ^^xsd:gYear}\n[Historic mission] {ex:description @en}\n```\n\n### Object Properties\n\nLinks create relationships (use `?` prefix):\n\n```markdown\n[ex] <tag:nasa@example.org,2026:>\n# Mission {=ex:apollo11}\n[NASA] {=ex:nasa ?ex:organizer}\n```\n\n### Resource Declaration\n\nDeclare resources inline with `{+iri}`:\n\n```markdown\n[ex] <tag:nasa@example.org,2026:>\n# Mission {=ex:apollo11}\n[Neil Armstrong] {+ex:armstrong ?ex:commander .Person}\n```\n\n### Diff Authoring (Polarity)\n\nUse `+` and `-` for retractions:\n\n```markdown\n[ex] <tag:carol@example.org,2026:>\n\nNew student [Alice] {=ex:new-student .prov:Person ex:name} is our [class] {+ex:my-class !member}. I think she might know [Bob] {+ex:bob ?ex:knows}.\n\n**Correction:** [Her] {=ex:new-student} name is not [Alice] {-ex:name}, it's [Ellie] {ex:name}.\n\n**Correction:** I asked her directly - no, she doesn't know [him] {+ex:bob -?ex:knows}.\n\n**IRI replacement:** Let's create a proper [Class] {=ex:my-class} record for [Ellie] {+ex:Ellie .prov:Person ex:name label ?member} instead of temporary [Ellie] {+ex:new-student -.prov:Person -ex:name -?member} record created earlier.\n```\n\nAfter `generate(parse({text}))` would look like this:\n```markdown\n[ex] <tag:carol@example.org,2026:>\n\n# Ellie {=ex:Ellie .prov:Person label}\n[Ellie] {ex:name}\n\n# my-class {=ex:my-class}\n[ex:Ellie] {+ex:Ellie ?member}\n```\n\n\n## 🔧 API Reference\n\n### `parse({ text, context, dataFactory, graph })`\n\nParse MDLD to RDF quads with lean origin tracking.\n\n**Parameters:**\n- `text` (string, required) — MDLD formatted text\n- `context` (object, optional) — Prefix mappings\n- `dataFactory` (object, optional) — Custom RDF/JS DataFactory\n- `graph` (string, optional) — Named graph IRI\n\n**Returns:** `{ quads, remove, statements, origin, context, primarySubject, primary, md }`\n\n- `quads` — RDF/JS Quads (final resolved graph state)\n- `remove` — RDF/JS Quads (external retractions for diff workflows)\n- `statements` — Elevated SPO quads from rdf:Statement patterns\n- `origin` — Lean origin tracking: `quadIndex`, `blocks`, `spans`, `documentStructure`\n- `context` — Final context with prefixes\n- `primarySubject` — String IRI or null (canonical append identity)\n- `primary` — Primary metadata quartet: `{ subject, type, label, comment }`\n- `md` — Clean Markdown with annotations stripped\n\n`primarySubject` is useful to allow each iri have it's page and vice versa - so we can have arbitrary MD content attached to it. This is where we can render the `md` on the entity page if we have it in our custom `const pages = new Map()`. \n\n`md` is useful to detect parsing success: `if(originalText!=parsed.md) {console.log('Parse success. Total annotations: ', originalText.length-md.length) letters.`\n\n### `merge(docs, options)`\n\nMerge multiple MDLD documents with diff polarity resolution.\n\n**Parameters:**\n- `docs` (array) — Array of markdown strings or ParseResult objects\n- `options` (object, optional):\n  - `context` (object) — Prefix mappings\n\n**Returns:** `{ quads, remove, statements, origin, context, primarySubjects, primary }`\n\n- `quads` — RDF/JS Quads (final resolved graph state)\n- `remove` — RDF/JS Quads (external retractions)\n- `statements` — Elevated statements from all documents\n- `origin` — Merge origin with document tracking\n- `context` — Final context with prefixes\n- `primarySubjects` — Array of string IRIs (canonical identities)\n- `primary` — Array of primary metadata objects\n\n**Use case:** CRDT-style state management with append-only documents.\n\n### `generate({ quads, context, primarySubject, compactInline, renderReverse, remove, lang })`\n\nGenerate deterministic MDLD from RDF quads.\n\n**Parameters:**\n- `quads` (array, required) — RDF/JS Quads to convert\n- `context` (object, optional) — Prefix mappings\n- `primarySubject` (string, optional) — IRI to place first in output\n- `compactInline` (boolean, optional) — Inline type/label compaction (default: `false`)\n- `renderReverse` (boolean, optional) — Reverse connections as `!p` (default: `false`)\n- `remove` (array, optional) — RDF/JS Quads to retract (for diff generation)\n- `lang` (string, optional) — Preferred language for labels (e.g., `'en'`, `'es'`, `'fr'`). Priority: specified lang → untagged → English → any language\n\n**Returns:** `{ text, context, compactStats }`\n\n- `text` — Generated MDLD text\n- `context` — Full context with prefixes\n- `compactStats` — Compaction metrics\n\n**Features:** Visual styling, label-in-heading, round-trip safe, diff generation, language preference.\n\n**Example with language preference:**\n```javascript\nconst { text } = generate({\n  quads: result.quads,\n  lang: 'es'  // Prefer Spanish labels\n});\n```\n\n### `generateNode({ quads, focusIRI, context, compactInline, renderReverse, lang })`\n\nGenerate node-centric MDLD for a specific IRI.\n\n**Parameters:**\n- `quads` (array, required) — RDF/JS Quads to search\n- `focusIRI` (string, required) — IRI to center view on\n- `context` (object, optional) — Prefix mappings\n- `compactInline` (boolean, optional) — Inline compaction (default: `true`)\n- `renderReverse` (boolean, optional) — Reverse connections (default: `true`)\n- `lang` (string, optional) — Preferred language for labels (e.g., `'en'`, `'es'`, `'fr'`). Priority: specified lang → untagged → English → any language\n\n**Returns:** `{ text, context, compactStats }`\n\n**Safety:** Returns empty text if focusIRI not found (prevents accidental full database rendering).\n\n### `updateValue({ text, quad, value, origin })`\n\nUpdate carrier text of a literal quad in MDLD text.\n\n**Parameters:**\n- `text` (string) — Original MDLD text\n- `quad` (object) — Quad to update\n- `value` (string) — New carrier text\n- `origin` (object, optional) — ParseResult.origin\n\n**Returns:** Updated MDLD text (fail-safe)\n\n**Use case:** Editor applications updating literal values.\n\n### `locate(quad, origin)`\n\nLocate quad origin entry for UI navigation.\n\n**Returns:** `{ blockId, range, valueRange, carrierType, ... }` or `null`\n\n### `render(mdld, options?)`\n\nConvert MD-LD to semantic HTML with preserved annotations.\n\n**Parameters:**\n- `mdld` (string, required) — MD-LD formatted text\n- `options` (object, optional):\n  - `context` (object) — Additional prefix mappings\n\n**Returns:** `string` — Semantic HTML with `data-annotation` attributes\n\n**Features:**\n- Preserves complete MD-LD syntax in `data-annotation` for roundtrip reconstruction\n- Resolves IRIs into `data-iri` attributes for easy querying\n- Adds semantic CSS classes: `.mdld-heading`, `.mdld-link`, `.typed`, `.retracted`\n- Platform-agnostic: works in Node.js, Deno, browsers, edge workers\n\n**Example:**\n```javascript\nconst html = render('# Alice {=ex:alice .Person label}');\n```\nproduces \n```html\n<h1 class=\"mdld-heading typed\" \n     data-annotation=\"{=ex:alice .Person label}\" \n     data-iri=\"http://example.org/alice\">Alice</h1>\n```\n\n### `deconstruct(html)`\n\nReconstruct MD-LD from rendered HTML via pure string scanning.\n\n**Parameters:**\n- `html` (string, required) — HTML produced by `render()`\n\n**Returns:** `string` — Reconstructed MD-LD text\n\n**Roundtrip invariant:**\n```javascript\nparse(deconstruct(render(mdld))).quads === parse(mdld).quads\n```\n\n**Example:**\n```javascript\nconst html = '<h1 data-annotation=\"{=ex:alice .Person label}\">Alice</h1>';\nconst mdld = deconstruct(html);\n// # Alice {=ex:alice .Person label}\n```\n\n**Use cases:**\n- Server-side rendering: render MD-LD to HTML, send to client\n- Client-side graph extraction: `parse(deconstruct(document.body.innerHTML))`\n- Offline-first apps: cache HTML, reconstruct quads on demand\n\n## Styling by Type\n\nUse CSS attribute selectors to style elements by their RDF types:\n\n```css\n/* Style all Person entities */\n[data-iri$=\"Person\"] { color: green; }\n\n/* Style all Recipe entities */\n[data-types*=\"Recipe\"] { background: #fff3cd; }\n\n/* Style entities with specific IRI */\n[data-iri=\"http://example.org/alice\"] { font-weight: bold; }\n\n### Utility Functions\n\n```javascript\nimport {\n  DEFAULT_CONTEXT,    // Default prefix mappings\n  DataFactory,        // RDF/JS DataFactory\n  hash,              // String hashing\n  expandIRI,         // IRI expansion\n  shortenIRI,        // IRI shortening\n  parseSemanticBlock // Semantic block parsing\n} from 'mdld-parse';\n```\n\n## 🏗️ Architecture\n\n### Design Principles\n- **Zero dependencies** — Pure JavaScript, 101KB unminified (24KB gzipped)\n- **Streaming-first** — Single-pass parsing, O(n) complexity\n- **Character-based tokenization** — 20-28% faster than regex-based approaches\n- **Standards-compliant** — RDF/JS data model, W3C CURIE 1.0 syntax\n- **Deterministic** — Same input always produces same output\n- **Explicit semantics** — No guessing, inference, or heuristics\n- **Dual-layer origin** — Every parse emits both a semantic quad graph and a walkable textual topology graph simultaneously\n- **HTML as codec** — Lossless roundtrip between MD-LD and HTML via `render()`/`deconstruct()`\n\n### Origin: Blocks and Spans\n\nThe parser output includes a complete document chain at no extra cost:\n\n```\n[Block] --(Span)-- [Block] --(Span)-- [Block]\n```\n\n- **Blocks** (`origin.blocks`) — semantic anchors: tokens that produced RDF quads, with `prevSpanId`/`nextSpanId` links\n- **Spans** (`origin.spans`) — textual observations: raw byte ranges between blocks, with bidirectional block and span links\n\nSpans store no text — content is always recovered via `sourceText.slice(span.range[0], span.range[1])`. This unlocks context-aware UI, autocomplete neighborhood retrieval, and cross-document topology without any parser-level interpretation.\n\n### HTML Codec: Server/Client Equivalence\n\nThe `render()` and `deconstruct()` pair enables two equivalent workflows:\n\n**Server-Side Rendering (SSR):**\n```\nMD-LD files → render() → HTML → Browser\n                              ↓\n                    deconstruct() → parse() → quads\n```\n\n**Client-Side Rendering (CSR):**\n```\nMD-LD files → Browser → render() → HTML\n                         ↓\n                    deconstruct() → parse() → quads\n```\n\nBoth modes produce identical quads. The choice depends on your deployment model:\n- **SSR:** Better for SEO, faster initial page load, works without JavaScript\n- **CSR:** Better for offline-first apps, reduces server load, enables dynamic updates\n\n**Bandwidth optimization:**\n- Full fidelity: `render(mdld)` includes `data-annotation` for roundtrip\n- Lossy mode: `render(parse(mdld).md)` strips annotations for privacy-preserving publishing\n- HTML payload is 2-3x smaller than MD-LD + JSON-LD combination\n\n**Use cases:**\n- Personal knowledge bases (Obsidian-like, web-native)\n- Community wikis with semantic search\n- Offline-first research notes with citations\n- Collaborative task management with provenance\n- Reading lists that become knowledge graphs\n- Meeting notes with automatic linking\n- Decentralized community event calendars\n\n### Performance Characteristics\n- **Real-time (60fps):** Up to 4,527 quads per frame\n- **Batch processing:** Up to 225,059 quads per second\n- **Memory efficient:** ~640 bytes per quad retained after GC\n- **Streaming-friendly:** Full document never in memory\n\n### RDF/JS Compatibility\nQuads work with:\n- [`n3.js`](https://github.com/rdfjs/N3.js) — Turtle/N-Triples serialization\n- [`rdflib.js`](https://github.com/linkeddata/rdflib.js) — RDF stores\n- [`sparqljs`](https://github.com/RubenVerborgh/SPARQL.js) — SPARQL queries\n- [`rdf-ext`](https://github.com/rdf-ext/rdf-ext) — RDF utilities\n\n### Standards Compliance\n- **RDF 1.1** — Core RDF concepts\n- **RDFS** — Schema vocabulary\n- **PROV-O** — Provenance ontology\n- **SHACL** — Constraint validation\n- **W3C CURIE 1.0** — Compact URI syntax\n\n## 🧪 Testing\n\n```bash\npnpm test\n```\n\nComprehensive test suite covering:\n- Syntax parsing and tokenization\n- Context management and prefix folding\n- Polarity system and retractions\n- Elevated statements detection\n- Primary metadata extraction\n- Round-trip parse/generate cycles\n- HTML codec roundtrip — `mdld = deconstruct(render(mdld))` \n- Origin tracking and provenance\n\n\n## 📚 Documentation Hub\n\n- **📋 [Specification](./spec/index.md)** — Formal specification and test suite\n  - [Formal Specification](./spec/Spec.md)\n  - [Compact Spec](./spec/Spec-compact.md)\n  - [Ultra Compact Spec](./spec/Spec-ultra.md)\n\n- **📚 [Grammar](./grammar/index.md)** — EBNF+TextMate grammar specifications\n- [The TextMate grammar](./grammar/mdld.tmLanguage.json)\n- [ISO 14977 EBNF grammar](./grammar/mdld.ebnf)\n\n- **📖 [Documentation](./docs/index.md)** — Complete documentation with guides and references\n  - [MD-LD Authoring Guide](./docs/Guide.md)\n  - [One Page Guide](./docs/one-page.md)\n  - [Semantic Infrastructure as Readable Text](./docs/Semantic-Text.md)\n  - [Elevated Statements](./docs/statements.md)\n  - [Primary Metadata System](./docs/primary-subject.md)\n  - [Origin System](./docs/origin.md)\n  - [Polarity & Retraction](./docs/polarity.md)\n  - [Subject System](./docs/Subject.md)\n  - [API Reference](./docs/API.md)\n  - [Generate: Quads to MDLD](./docs/generate.md)\n  - [Render MDLD to HTML and deconstruct it back](./docs/render.md)\n  - [Diff Documents](./docs/diff.md)\n  - [Syntax Reference](./docs/Syntax.md)\n  - [Architecture & Design](./docs/Architecture.md)\n  - [Parser Architecture](./docs/Parser.md)\n  - [Performance Benchmarks](./docs/Performance.md)\n  - [Token Efficiency](./docs/Token-Efficiency.md)\n  - [Knowledge Round Trip](./docs/Knowledge-Round-Trip.md)\n  - [Human-Scale Software & Semantic Infrastructure](./docs/Human-Scale.md)\n  - [Quad[] as a Universal Semantic Runtime](./docs/quad-runtime.md)\n  - [Use Cases](./docs/Use-Cases.md)\n\n- **🎯 [Examples](./examples/index.md)** — Real-world MD-LD examples and use cases\n  - [Minimal](./examples/demo/minimal.md)\n  - [One-Page Guide](./examples/one-page.md)\n  - [Few-Shot Examples](./examples/few-shot.md)\n  - [Journal](./examples/demo/journal.md)\n  - [Tasks](./examples/demo/tasks.md)\n  - [Medical AI Research](./examples/demo/research.md)\n  - [Cookbook](./examples/Cookbook.md)\n  - [Website Redesign Project](./examples/demo/project.md)\n  - [Task Management System](./examples/demo/tasks.md)\n  - [Cassini-Huygens Mission](./examples/demo/space-mission.md)\n  - [RDF Fundamentals](./examples/demo/rdf.md)\n  - [Statements Golden Graph](./examples/statements.md)\n  - [PROV-O Patterns](./examples/demo/prov.md)\n  - [SHACL Validation](./examples/demo/shacl.md)\n  - [XSD Datatypes](./examples/demo/xsd.md)\n  - [Status & SHACL Validation](./examples/Status-SHACL.md)\n  - [LLM Time Workflow](./examples/llm-time-workflow.md)\n  - [Research Workflow](./examples/workflow.md)\n  - [Dogfood](./examples/dogfood.md)\n\n- **💻 [Reference server](./server/index.md) - a Node.js implementation of the server for git-powered semantic workflows and publishing\n  - [Source code](./server/mdld-server.js)\n\n- **🧩 [Ontologies](./ontologies/index.md)** — W3C and related standard ontologies used in RDF\n  - [RDF — Resource Description Framework](./ontologies/rdf.md)\n  - [RDFS — RDF Schema](./ontologies/rdfs.md)\n  - [SHACL — Shapes Constraint Language](./ontologies/shacl.md)\n  - [PROV-O — W3C Provenance Ontology](./ontologies/prov-o.md)\n  - [XSD — XML Schema Definition Datatypes](./ontologies/xsd.md)\n  - [DCTERMS — Dublin Core Metadata Terms](./ontologies/dcterms.md)\n  - [DCAT — Data Catalog Vocabulary](./ontologies/dcat.md)\n  - [FOAF — Friend of a Friend](./ontologies/foaf.md)\n  - [VCard](./ontologies/vcard.md)\n  - [Time — OWL-Time Ontology](./ontologies/time.md)\n  - [Activity Streams 2.0](./ontologies/activity-streams-2.md)\n  - [SKOS — Simple Knowledge Organization System](./ontologies/skos.md)\n  - [Schema.org](./ontologies/schemaorg.md)\n  - [CIDOC CRM — Conceptual Reference Model](./ontologies/cidoc_crm.md)\n  - [SOSA — Sensor, Observation, Sample, and Actuator](./ontologies/sosa.md)\n  - [QUDT — Quantities, Units, Dimensions and Types](./ontologies/qudt.md)\n  - [GOLD — General Ontology for Linguistic Description](./ontologies/gold.md)\n  - [LexInfo — Lexical Information Ontology](./ontologies/lexinfo.md)\n  - [OWL — Web Ontology Language](./ontologies/owl.md)\n  - [P-PLAN — Plan Ontology](./ontologies/p-plan.md)\n  - [Hydra — Hypermedia API Vocabulary](./ontologies/hydra.md)\n  - [Web Annotations](./ontologies/web-annotations.md)\n\n## Governance\n\nMD-LD is a craft project. Its coherence comes from a single evolving understanding of how semantic text should work — not from consensus, but from sustained attention to the same problem over time.\n\nThis means:\n\n- Decisions are made by the steward, informed by discussion and use\n- The project prioritizes conceptual integrity over inclusiveness\n- Contributions that align with the model are welcomed and incorporated\n- Contributions that expand scope without deepening coherence are respectfully declined\n- The spec will not grow features to attract users — it will grow depth to serve understanding\n\n## Licensing\n\nMD-LD is currently published as copyrighted source material.\n\nThe project is under active development and no open-source license has been selected yet.\n\nIndividuals, researchers, educators, and non-commercial users are welcome to experiment with the technology.\n\nOrganizations interested in production or commercial use should contact the author.\n\nThe long-term governance and licensing model remains under evaluation.\n\nThe primary goal at this stage is preserving the simplicity, interoperability, and long-term integrity of the system while the ecosystem forms around it.\n","readmeFilename":"README.md"}