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@zazuko/rdf-vocabularies -- Zazuko's Default Ontologies & Prefixes\n[![Build Status](https://travis-ci.org/zazuko/rdf-vocabularies.svg?branch=master)](https://travis-ci.org/zazuko/rdf-vocabularies) \n[![Coverage Status](https://coveralls.io/repos/github/zazuko/rdf-vocabularies/badge.svg?branch=master)](https://coveralls.io/github/zazuko/rdf-vocabularies?branch=master) \n[![npm version](https://badge.fury.io/js/%40zazuko%2Frdf-vocabularies.svg)](https://www.npmjs.com/package/@zazuko/rdf-vocabularies)\n\nThis package contains a distribution of the most commonly used RDF ontologies (schema/vocab, whatever you call it)\nincluding their default prefixes, together with a set of utility functions to work with prefixes.\n\nIt is extending [RDFa Core Initial Context](http://www.w3.org/2011/rdfa-context/rdfa-1.1) and contains what we consider\ncommonly used prefixes. Some popular prefixes do not resolve to dereferencable RDF and are thus skipped.\n\nThe package is built for use in Node.js projects. We ship N-Quads files of the vocabularies so it could be useful for\nother programming languages as well as you do not have to take care of downloading the ontologies yourself.\n\n## Installation\n\n```bash\n$ npm install @zazuko/rdf-vocabularies\n```\n\n### Using in browser\n\nThe package can be used in browser albeit it needs a bundler such as webpack and additional steps to configure it:\n\n* Enable [dynamic imports](https://medium.com/front-end-weekly/webpack-and-dynamic-imports-doing-it-right-72549ff49234). \n In webpack it is done with [@babel/plugin-syntax-dynamic-import](https://babeljs.io/docs/en/babel-plugin-syntax-dynamic-import)\n* Extend the bundler setup to have it load the contents of vocabulary files (all n-triples). In\n In webpack it can be done with [`raw-loader`](https://github.com/webpack-contrib/raw-loader):\n\n module: {\n rules: [\n {\n test: /\\.nq$/,\n use: ['raw-loader']\n }\n ]\n }\n* Be careful with prefetching chunks. Some applications may generate prefetch links for dynamically loaded chunks. \nSome of the ontology files are quite large and their number will grow over time. Hence, it may be desired to exclude\ncertain chunks from the being eagerly loaded. Check the [wiki](https://github.com/zazuko/rdf-vocabularies/wiki/Example-web-app-config) for examples.\n\n## Usage\n\n(Read below and take a look at some [examples](./examples.js).)\n\n### Vocabularies Metadata\n\nSee [`_index.nq`](./ontologies/_index.nq).\n\n### `vocabularies()`\n\nThe function (`require('@zazuko/rdf-vocabularies').vocabularies(options)`) accepts an optional `options` object:\n\n* `options.only: Array?`, default: `undefined`, a subset of all available prefixes, will only load these.\n* `options.factory: RDF/JS DatasetFactory`, default: [`rdf-ext`](https://github.com/rdf-ext/rdf-ext), a dataset\nfactory abiding by the [RDF/JS Dataset Specification](https://rdf.js.org/dataset-spec/), used to create the\nreturned datasets.\n* `options.stream: Boolean`, default: `false`, whether to return a RDF/JS quad stream instead of regular objects/datasets.\n\n#### Loading all Vocabularies as Datasets\n\nIn browser environment this will cause a request for each individual dataset. \nIt is thus recommended to always only [load the needed ontologies](#loading-only-some-ontologies-as-datasets)\nto reduce the unnecessary traffic and save bandwidth.\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\n\nvocabularies()\n .then((datasets) => {\n /* `datasets` is:\n {\n \"csvw\": Dataset,\n \"sd\": Dataset,\n \"ldp\": Dataset,\n \"schema\": Dataset,\n \"owl\": Dataset,\n \"void\": Dataset,\n \"sioc\": Dataset,\n \"foaf\": Dataset,\n \"time\": Dataset,\n \"dcat\": Dataset,\n \"oa\": Dataset,\n \"gr\": Dataset,\n \"rdf\": Dataset,\n \"cc\": Dataset,\n \"ssn\": Dataset,\n \"rr\": Dataset,\n \"rdfa\": Dataset,\n \"org\": Dataset,\n \"sosa\": Dataset,\n \"dc11\": Dataset,\n \"skos\": Dataset,\n \"dqv\": Dataset,\n \"prov\": Dataset,\n \"og\": Dataset,\n \"qb\": Dataset,\n \"rdfs\": Dataset,\n \"dc\": Dataset,\n \"ma\": Dataset,\n \"vcard\": Dataset,\n \"grddl\": Dataset,\n \"dcterms\": Dataset,\n \"skosxl\": Dataset,\n \"wgs\": Dataset,\n \"dbo\": Dataset,\n \"dbpedia\": Dataset,\n \"dbpprop\": Dataset,\n \"rss\": Dataset,\n \"cnt\": Dataset,\n \"vs\": Dataset,\n \"hydra\": Dataset,\n \"gn\": Dataset,\n \"gtfs\": Dataset,\n \"geo\": Dataset,\n \"geof\": Dataset,\n \"geor\": Dataset\n }\n */\n })\n```\n\n#### Loading only some Vocabularies as Datasets\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\n\nvocabularies({ only: ['rdfs', 'owl', 'skos'] })\n .then((datasets) => {\n /* `datasets` is:\n {\n \"owl\": Dataset,\n \"skos\": Dataset,\n \"rdfs\": Dataset\n }\n */\n })\n```\n\n#### Getting a Readable Stream (Quad Stream)\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\nconst stream = await vocabularies({ stream: true, only: ['rdfs', 'owl', 'skos'] })\n```\n\n### Expanding a Prefix\n\n`expand`ing means: `'xsd:dateTime' → 'http://www.w3.org/2001/XMLSchema#dateTime'`.\nIt is the opposite of [`shrink`](#shrinking-an-iri)ing: \n`expand(shrink('http://www.w3.org/2001/XMLSchema#dateTime')) === 'http://www.w3.org/2001/XMLSchema#dateTime'`\n\nThere are two ways of expanding a prefix:\n\n* `vocabularies.expand(prefixedTerm: String): String` synchronous\n\n Expand without checks. It is similar to prefix.cc in the sense that prefix.cc would expand\n `schema:ImNotInSchemaDotOrg` to `http://schema.org/ImNotInSchemaDotOrg`.\n\n* `vocabularies.expand(prefixedTerm: String, types: Array): Promise` **asynchronous**\n\n Expand with type checks. `types` is an array of strings or NamedNodes. See this example:\n\n ```js\n const { expand } = require('@zazuko/rdf-vocabularies')\n const Class = expand('rdfs:Class')\n const Property = expand('rdf:Property')\n\n // Will return expanded to `http://schema.org/Person`\n // iff the dataset contains either:\n // \n // or\n // \n await expand('schema:Person', [Class, Property])\n ```\n\n### Shrinking an IRI\n\n`shrink`ing means: `'http://www.w3.org/2001/XMLSchema#dateTime' → 'xsd:dateTime'`.\nIt is the opposite of [`expand`](#expanding-a-prefix)ing: \n`shrink(expand('xsd:dateTime')) === 'xsd:dateTime'`\n\n* `vocabularies.shrink(iri: String): String`\n\n **Note**: returns empty string when there is no corresponding prefix. Always check the output\n when using `shrink` with user-provided strings.\n\n ```js\n const assert = require('assert')\n const { shrink } = require('@zazuko/rdf-vocabularies')\n\n assert(shrink('http://www.w3.org/2001/XMLSchema#dateTime') === 'xsd:dateTime')\n assert(shrink('http://example.com#nothing') === '')\n\n const iri = 'http://example.com#nothing'\n const stringToDisplay = shrink(iri) || iri\n console.log(stringToDisplay) // 'http://example.com#nothing'\n ```\n\n### Accessing Prefixes: `vocabularies.prefixes`\n\nGetting an object with prefixes and their base URI: \n(Returns [this object](./prefixes.js).)\n\n```js\nconst { prefixes } = require('@zazuko/rdf-vocabularies')\n\nconsole.log(prefixes)\n/*\n {\n v: 'http://rdf.data-vocabulary.org/#',\n csvw: 'http://www.w3.org/ns/csvw#',\n sd: 'http://www.w3.org/ns/sparql-service-description#',\n …\n}\n*/\n```\n\n### Accessing Data Files from the Package\n\nAccessing the N-Quads files:\n\n```js\nconst path = require('path')\nconsole.log(path.resolve(require.resolve('@zazuko/rdf-vocabularies'), '..', 'ontologies', 'skos.nq'))\n```\n\n### Command line\n\nThe package also includes a simple command line interface which forwards the vocabulary datasets to standard output. It can be used in two ways.\n\nBy prefix:\n\n```\nrdf-vocab prefix foaf\n```\n\nBy namespace URI:\n\n```\nrdf-vocab prefix http://schema.org/\n```\n\n## Versioning Scheme\n\nThis package is [vendoring ontologies](./ontologies/). These will be updated periodically.\n\nThis package is versioned using the date at which the data was pulled, e.g. `@zazuko/rdf-vocabularies@2019.04.30`.\n\nUpdating the vendored ontologies is achieved using `npm run fetch` in this package.\n\n## Adding new prefixes\n\nNew prefixes can be added by opening a pull request on Github. For new requests, first check if the creator/owner\nof the namespace defined a prefix. If not check [prefix.cc](http://prefix.cc/). In case prefix.cc is ambiguous a\ndiscussion should be raised before the pull-requests gets integrated. Last thing to check are the predefined namespaces\nin the [DBpedia SPARQL endpoint](http://dbpedia.org/sparql?nsdecl) or other popular RDF resources like\n[LOV](https://lov.linkeddata.es/dataset/lov/vocabs). If you find one please refer to it in the pull request.\n\n### Steps to add a prefix\n\n1. Add an entry in [`src/lib/prefixes.ts`](src/lib/prefixes.ts)\n1. If necessary, add an entry to [`overrides.ts`](overrides.ts) similar to the others\n1. Run `npm run fetch -- ` with the prefix passed as parameter.\n * multiple prefixes can also be to fetch multiple ontologies\n1. 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@zazuko/rdf-vocabularies -- Zazuko's Default Ontologies & Prefixes\n[![Build Status](https://travis-ci.org/zazuko/rdf-vocabularies.svg?branch=master)](https://travis-ci.org/zazuko/rdf-vocabularies) \n[![Coverage Status](https://coveralls.io/repos/github/zazuko/rdf-vocabularies/badge.svg?branch=master)](https://coveralls.io/github/zazuko/rdf-vocabularies?branch=master) \n[![npm version](https://badge.fury.io/js/%40zazuko%2Frdf-vocabularies.svg)](https://www.npmjs.com/package/@zazuko/rdf-vocabularies)\n\nThis package contains a distribution of the most commonly used RDF ontologies (schema/vocab, whatever you call it)\nincluding their default prefixes, together with a set of utility functions to work with prefixes.\n\nIt is extending [RDFa Core Initial Context](http://www.w3.org/2011/rdfa-context/rdfa-1.1) and contains what we consider\ncommonly used prefixes. Some popular prefixes do not resolve to dereferencable RDF and are thus skipped.\n\nThe package is built for use in Node.js projects. We ship N-Quads files of the vocabularies so it could be useful for\nother programming languages as well as you do not have to take care of downloading the ontologies yourself.\n\n## Installation\n\n```bash\n$ npm install @zazuko/rdf-vocabularies\n```\n\n### Using in browser\n\nThe package can be used in browser albeit it needs a bundler such as webpack and additional steps to configure it:\n\n* Enable [dynamic imports](https://medium.com/front-end-weekly/webpack-and-dynamic-imports-doing-it-right-72549ff49234). \n In webpack it is done with [@babel/plugin-syntax-dynamic-import](https://babeljs.io/docs/en/babel-plugin-syntax-dynamic-import)\n* Extend the bundler setup to have it load the contents of vocabulary files (all n-triples). In\n In webpack it can be done with [`raw-loader`](https://github.com/webpack-contrib/raw-loader):\n\n module: {\n rules: [\n {\n test: /\\.nq$/,\n use: ['raw-loader']\n }\n ]\n }\n* Be careful with prefetching chunks. Some applications may generate prefetch links for dynamically loaded chunks. \nSome of the ontology files are quite large and their number will grow over time. Hence, it may be desired to exclude\ncertain chunks from the being eagerly loaded. Check the [wiki](https://github.com/zazuko/rdf-vocabularies/wiki/Example-web-app-config) for examples.\n\n## Usage\n\n(Read below and take a look at some [examples](./examples.js).)\n\n### Vocabularies Metadata\n\nSee [`_index.nq`](./ontologies/_index.nq).\n\n### `vocabularies()`\n\nThe function (`require('@zazuko/rdf-vocabularies').vocabularies(options)`) accepts an optional `options` object:\n\n* `options.only: Array?`, default: `undefined`, a subset of all available prefixes, will only load these.\n* `options.factory: RDF/JS DatasetFactory`, default: [`rdf-ext`](https://github.com/rdf-ext/rdf-ext), a dataset\nfactory abiding by the [RDF/JS Dataset Specification](https://rdf.js.org/dataset-spec/), used to create the\nreturned datasets.\n* `options.stream: Boolean`, default: `false`, whether to return a RDF/JS quad stream instead of regular objects/datasets.\n\n#### Loading all Vocabularies as Datasets\n\nIn browser environment this will cause a request for each individual dataset. \nIt is thus recommended to always only [load the needed ontologies](#loading-only-some-ontologies-as-datasets)\nto reduce the unnecessary traffic and save bandwidth.\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\n\nvocabularies()\n .then((datasets) => {\n /* `datasets` is:\n {\n \"csvw\": Dataset,\n \"sd\": Dataset,\n \"ldp\": Dataset,\n \"schema\": Dataset,\n \"owl\": Dataset,\n \"void\": Dataset,\n \"sioc\": Dataset,\n \"foaf\": Dataset,\n \"time\": Dataset,\n \"dcat\": Dataset,\n \"oa\": Dataset,\n \"gr\": Dataset,\n \"rdf\": Dataset,\n \"cc\": Dataset,\n \"ssn\": Dataset,\n \"rr\": Dataset,\n \"rdfa\": Dataset,\n \"org\": Dataset,\n \"sosa\": Dataset,\n \"dc11\": Dataset,\n \"skos\": Dataset,\n \"dqv\": Dataset,\n \"prov\": Dataset,\n \"og\": Dataset,\n \"qb\": Dataset,\n \"rdfs\": Dataset,\n \"dc\": Dataset,\n \"ma\": Dataset,\n \"vcard\": Dataset,\n \"grddl\": Dataset,\n \"dcterms\": Dataset,\n \"skosxl\": Dataset,\n \"wgs\": Dataset,\n \"dbo\": Dataset,\n \"dbpedia\": Dataset,\n \"dbpprop\": Dataset,\n \"rss\": Dataset,\n \"cnt\": Dataset,\n \"vs\": Dataset,\n \"hydra\": Dataset,\n \"gn\": Dataset,\n \"gtfs\": Dataset,\n \"geo\": Dataset,\n \"geof\": Dataset,\n \"geor\": Dataset\n }\n */\n })\n```\n\n#### Loading only some Vocabularies as Datasets\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\n\nvocabularies({ only: ['rdfs', 'owl', 'skos'] })\n .then((datasets) => {\n /* `datasets` is:\n {\n \"owl\": Dataset,\n \"skos\": Dataset,\n \"rdfs\": Dataset\n }\n */\n })\n```\n\n#### Getting a Readable Stream (Quad Stream)\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\nconst stream = await vocabularies({ stream: true, only: ['rdfs', 'owl', 'skos'] })\n```\n\n### Expanding a Prefix\n\n`expand`ing means: `'xsd:dateTime' → 'http://www.w3.org/2001/XMLSchema#dateTime'`.\nIt is the opposite of [`shrink`](#shrinking-an-iri)ing: \n`expand(shrink('http://www.w3.org/2001/XMLSchema#dateTime')) === 'http://www.w3.org/2001/XMLSchema#dateTime'`\n\nThere are two ways of expanding a prefix:\n\n* `vocabularies.expand(prefixedTerm: String): String` synchronous\n\n Expand without checks. It is similar to prefix.cc in the sense that prefix.cc would expand\n `schema:ImNotInSchemaDotOrg` to `http://schema.org/ImNotInSchemaDotOrg`.\n\n* `vocabularies.expand(prefixedTerm: String, types: Array): Promise` **asynchronous**\n\n Expand with type checks. `types` is an array of strings or NamedNodes. See this example:\n\n ```js\n const { expand } = require('@zazuko/rdf-vocabularies')\n const Class = expand('rdfs:Class')\n const Property = expand('rdf:Property')\n\n // Will return expanded to `http://schema.org/Person`\n // iff the dataset contains either:\n // \n // or\n // \n await expand('schema:Person', [Class, Property])\n ```\n\n### Shrinking an IRI\n\n`shrink`ing means: `'http://www.w3.org/2001/XMLSchema#dateTime' → 'xsd:dateTime'`.\nIt is the opposite of [`expand`](#expanding-a-prefix)ing: \n`shrink(expand('xsd:dateTime')) === 'xsd:dateTime'`\n\n* `vocabularies.shrink(iri: String): String`\n\n **Note**: returns empty string when there is no corresponding prefix. Always check the output\n when using `shrink` with user-provided strings.\n\n ```js\n const assert = require('assert')\n const { shrink } = require('@zazuko/rdf-vocabularies')\n\n assert(shrink('http://www.w3.org/2001/XMLSchema#dateTime') === 'xsd:dateTime')\n assert(shrink('http://example.com#nothing') === '')\n\n const iri = 'http://example.com#nothing'\n const stringToDisplay = shrink(iri) || iri\n console.log(stringToDisplay) // 'http://example.com#nothing'\n ```\n\n### Accessing Prefixes: `vocabularies.prefixes`\n\nGetting an object with prefixes and their base URI: \n(Returns [this object](./prefixes.js).)\n\n```js\nconst { prefixes } = require('@zazuko/rdf-vocabularies')\n\nconsole.log(prefixes)\n/*\n {\n v: 'http://rdf.data-vocabulary.org/#',\n csvw: 'http://www.w3.org/ns/csvw#',\n sd: 'http://www.w3.org/ns/sparql-service-description#',\n …\n}\n*/\n```\n\n### Accessing Data Files from the Package\n\nAccessing the N-Quads files:\n\n```js\nconst path = require('path')\nconsole.log(path.resolve(require.resolve('@zazuko/rdf-vocabularies'), '..', 'ontologies', 'skos.nq'))\n```\n\n### Command line\n\nThe package also includes a simple command line interface which forwards the vocabulary datasets to standard output. It can be used in two ways.\n\nBy prefix:\n\n```\nrdf-vocab prefix foaf\n```\n\nBy namespace URI:\n\n```\nrdf-vocab prefix http://schema.org/\n```\n\n## Versioning Scheme\n\nThis package is [vendoring ontologies](./ontologies/). These will be updated periodically.\n\nThis package is versioned using the date at which the data was pulled, e.g. `@zazuko/rdf-vocabularies@2019.04.30`.\n\nUpdating the vendored ontologies is achieved using `npm run fetch` in this package.\n\n## Adding new prefixes\n\nNew prefixes can be added by opening a pull request on Github. For new requests, first check if the creator/owner\nof the namespace defined a prefix. If not check [prefix.cc](http://prefix.cc/). In case prefix.cc is ambiguous a\ndiscussion should be raised before the pull-requests gets integrated. Last thing to check are the predefined namespaces\nin the [DBpedia SPARQL endpoint](http://dbpedia.org/sparql?nsdecl) or other popular RDF resources like\n[LOV](https://lov.linkeddata.es/dataset/lov/vocabs). If you find one please refer to it in the pull request.\n\n### Steps to add a prefix\n\n1. Add an entry in [`src/lib/prefixes.ts`](src/lib/prefixes.ts)\n1. If necessary, add an entry to [`overrides.ts`](overrides.ts) similar to the others\n1. Run `npm run fetch -- ` with the prefix passed as parameter.\n * multiple prefixes can also be to fetch multiple ontologies\n1. 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@zazuko/rdf-vocabularies -- Zazuko's Default Ontologies & Prefixes\n[![Build Status](https://travis-ci.org/zazuko/rdf-vocabularies.svg?branch=master)](https://travis-ci.org/zazuko/rdf-vocabularies) \n[![Coverage Status](https://coveralls.io/repos/github/zazuko/rdf-vocabularies/badge.svg?branch=master)](https://coveralls.io/github/zazuko/rdf-vocabularies?branch=master) \n[![npm version](https://badge.fury.io/js/%40zazuko%2Frdf-vocabularies.svg)](https://www.npmjs.com/package/@zazuko/rdf-vocabularies)\n\nThis package contains a distribution of the most commonly used RDF ontologies (schema/vocab, whatever you call it)\nincluding their default prefixes, together with a set of utility functions to work with prefixes.\n\nIt is extending [RDFa Core Initial Context](http://www.w3.org/2011/rdfa-context/rdfa-1.1) and contains what we consider\ncommonly used prefixes. Some popular prefixes do not resolve to dereferencable RDF and are thus skipped.\n\nThe package is built for use in Node.js projects. We ship N-Quads files of the vocabularies so it could be useful for\nother programming languages as well as you do not have to take care of downloading the ontologies yourself.\n\n## Installation\n\n```bash\n$ npm install @zazuko/rdf-vocabularies\n```\n\n### Using in browser\n\nThe package can be used in browser albeit it needs a bundler such as webpack and additional steps to configure it:\n\n* Enable [dynamic imports](https://medium.com/front-end-weekly/webpack-and-dynamic-imports-doing-it-right-72549ff49234). \n In webpack it is done with [@babel/plugin-syntax-dynamic-import](https://babeljs.io/docs/en/babel-plugin-syntax-dynamic-import)\n* Extend the bundler setup to have it load the contents of vocabulary files (all n-triples). In\n In webpack it can be done with [`raw-loader`](https://github.com/webpack-contrib/raw-loader):\n\n module: {\n rules: [\n {\n test: /\\.nq$/,\n use: ['raw-loader']\n }\n ]\n }\n* Be careful with prefetching chunks. Some applications may generate prefetch links for dynamically loaded chunks. \nSome of the ontology files are quite large and their number will grow over time. Hence, it may be desired to exclude\ncertain chunks from the being eagerly loaded. Check the [wiki](https://github.com/zazuko/rdf-vocabularies/wiki/Example-web-app-config) for examples.\n\n## Usage\n\n(Read below and take a look at some [examples](./examples.js).)\n\n### Vocabularies Metadata\n\nSee [`_index.nq`](./ontologies/_index.nq).\n\n### `vocabularies()`\n\nThe function (`require('@zazuko/rdf-vocabularies').vocabularies(options)`) accepts an optional `options` object:\n\n* `options.only: Array?`, default: `undefined`, a subset of all available prefixes, will only load these.\n* `options.factory: RDF/JS DatasetFactory`, default: [`rdf-ext`](https://github.com/rdf-ext/rdf-ext), a dataset\nfactory abiding by the [RDF/JS Dataset Specification](https://rdf.js.org/dataset-spec/), used to create the\nreturned datasets.\n* `options.stream: Boolean`, default: `false`, whether to return a RDF/JS quad stream instead of regular objects/datasets.\n\n#### Loading all Vocabularies as Datasets\n\nIn browser environment this will cause a request for each individual dataset. \nIt is thus recommended to always only [load the needed ontologies](#loading-only-some-ontologies-as-datasets)\nto reduce the unnecessary traffic and save bandwidth.\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\n\nvocabularies()\n .then((datasets) => {\n /* `datasets` is:\n {\n \"csvw\": Dataset,\n \"sd\": Dataset,\n \"ldp\": Dataset,\n \"schema\": Dataset,\n \"owl\": Dataset,\n \"void\": Dataset,\n \"sioc\": Dataset,\n \"foaf\": Dataset,\n \"time\": Dataset,\n \"dcat\": Dataset,\n \"oa\": Dataset,\n \"gr\": Dataset,\n \"rdf\": Dataset,\n \"cc\": Dataset,\n \"ssn\": Dataset,\n \"rr\": Dataset,\n \"rdfa\": Dataset,\n \"org\": Dataset,\n \"sosa\": Dataset,\n \"dc11\": Dataset,\n \"skos\": Dataset,\n \"dqv\": Dataset,\n \"prov\": Dataset,\n \"og\": Dataset,\n \"qb\": Dataset,\n \"rdfs\": Dataset,\n \"dc\": Dataset,\n \"ma\": Dataset,\n \"vcard\": Dataset,\n \"grddl\": Dataset,\n \"dcterms\": Dataset,\n \"skosxl\": Dataset,\n \"wgs\": Dataset,\n \"dbo\": Dataset,\n \"dbpedia\": Dataset,\n \"dbpprop\": Dataset,\n \"rss\": Dataset,\n \"cnt\": Dataset,\n \"vs\": Dataset,\n \"hydra\": Dataset,\n \"gn\": Dataset,\n \"gtfs\": Dataset,\n \"geo\": Dataset,\n \"geof\": Dataset,\n \"geor\": Dataset\n }\n */\n })\n```\n\n#### Loading only some Vocabularies as Datasets\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\n\nvocabularies({ only: ['rdfs', 'owl', 'skos'] })\n .then((datasets) => {\n /* `datasets` is:\n {\n \"owl\": Dataset,\n \"skos\": Dataset,\n \"rdfs\": Dataset\n }\n */\n })\n```\n\n#### Getting a Readable Stream (Quad Stream)\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\nconst stream = await vocabularies({ stream: true, only: ['rdfs', 'owl', 'skos'] })\n```\n\n### Expanding a Prefix\n\n`expand`ing means: `'xsd:dateTime' → 'http://www.w3.org/2001/XMLSchema#dateTime'`.\nIt is the opposite of [`shrink`](#shrinking-an-iri)ing: \n`expand(shrink('http://www.w3.org/2001/XMLSchema#dateTime')) === 'http://www.w3.org/2001/XMLSchema#dateTime'`\n\nThere are two ways of expanding a prefix:\n\n* `vocabularies.expand(prefixedTerm: String): String` synchronous\n\n Expand without checks. It is similar to prefix.cc in the sense that prefix.cc would expand\n `schema:ImNotInSchemaDotOrg` to `http://schema.org/ImNotInSchemaDotOrg`.\n\n* `vocabularies.expand(prefixedTerm: String, types: Array): Promise` **asynchronous**\n\n Expand with type checks. `types` is an array of strings or NamedNodes. See this example:\n\n ```js\n const { expand } = require('@zazuko/rdf-vocabularies')\n const Class = expand('rdfs:Class')\n const Property = expand('rdf:Property')\n\n // Will return expanded to `http://schema.org/Person`\n // iff the dataset contains either:\n // \n // or\n // \n await expand('schema:Person', [Class, Property])\n ```\n\n### Shrinking an IRI\n\n`shrink`ing means: `'http://www.w3.org/2001/XMLSchema#dateTime' → 'xsd:dateTime'`.\nIt is the opposite of [`expand`](#expanding-a-prefix)ing: \n`shrink(expand('xsd:dateTime')) === 'xsd:dateTime'`\n\n* `vocabularies.shrink(iri: String): String`\n\n **Note**: returns empty string when there is no corresponding prefix. Always check the output\n when using `shrink` with user-provided strings.\n\n ```js\n const assert = require('assert')\n const { shrink } = require('@zazuko/rdf-vocabularies')\n\n assert(shrink('http://www.w3.org/2001/XMLSchema#dateTime') === 'xsd:dateTime')\n assert(shrink('http://example.com#nothing') === '')\n\n const iri = 'http://example.com#nothing'\n const stringToDisplay = shrink(iri) || iri\n console.log(stringToDisplay) // 'http://example.com#nothing'\n ```\n\n### Accessing Prefixes: `vocabularies.prefixes`\n\nGetting an object with prefixes and their base URI: \n(Returns [this object](./prefixes.js).)\n\n```js\nconst { prefixes } = require('@zazuko/rdf-vocabularies')\n\nconsole.log(prefixes)\n/*\n {\n v: 'http://rdf.data-vocabulary.org/#',\n csvw: 'http://www.w3.org/ns/csvw#',\n sd: 'http://www.w3.org/ns/sparql-service-description#',\n …\n}\n*/\n```\n\n### Accessing Data Files from the Package\n\nAccessing the N-Quads files:\n\n```js\nconst path = require('path')\nconsole.log(path.resolve(require.resolve('@zazuko/rdf-vocabularies'), '..', 'ontologies', 'skos.nq'))\n```\n\n### Command line\n\nThe package also includes a simple command line interface which forwards the vocabulary datasets to standard output. It can be used in two ways.\n\nBy prefix:\n\n```\nrdf-vocab prefix foaf\n```\n\nBy namespace URI:\n\n```\nrdf-vocab prefix http://schema.org/\n```\n\n## Versioning Scheme\n\nThis package is [vendoring ontologies](./ontologies/). These will be updated periodically.\n\nThis package is versioned using the date at which the data was pulled, e.g. `@zazuko/rdf-vocabularies@2019.04.30`.\n\nUpdating the vendored ontologies is achieved using `npm run fetch` in this package.\n\n## Adding new prefixes\n\nNew prefixes can be added by opening a pull request on Github. For new requests, first check if the creator/owner\nof the namespace defined a prefix. If not check [prefix.cc](http://prefix.cc/). In case prefix.cc is ambiguous a\ndiscussion should be raised before the pull-requests gets integrated. Last thing to check are the predefined namespaces\nin the [DBpedia SPARQL endpoint](http://dbpedia.org/sparql?nsdecl) or other popular RDF resources like\n[LOV](https://lov.linkeddata.es/dataset/lov/vocabs). If you find one please refer to it in the pull request.\n\n### Steps to add a prefix\n\n1. Add an entry in [`src/lib/prefixes.ts`](src/lib/prefixes.ts)\n1. If necessary, add an entry to [`overrides.ts`](overrides.ts) similar to the others\n1. Run `npm run fetch -- ` with the prefix passed as parameter.\n * multiple prefixes can also be to fetch multiple ontologies\n1. 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most commonly used RDF ontologies/schemas/vocabularies as datasets or n-quads","homepage":"https://github.com/zazuko/rdf-vocabularies#readme","keywords":["rdf","rdfjs","prefix","namespace","ontologies","vocabularies"],"repository":{"type":"git","url":"git+https://github.com/zazuko/rdf-vocabularies.git"},"author":{"name":"Victor Felder","email":"victor@draft.li","url":"https://draft.li"},"bugs":{"url":"https://github.com/zazuko/rdf-vocabularies/issues"},"license":"MIT","readme":"# @zazuko/rdf-vocabularies -- Zazuko's Default Ontologies & Prefixes\n[![Build Status](https://travis-ci.org/zazuko/rdf-vocabularies.svg?branch=master)](https://travis-ci.org/zazuko/rdf-vocabularies)\n[![Coverage Status](https://coveralls.io/repos/github/zazuko/rdf-vocabularies/badge.svg?branch=master)](https://coveralls.io/github/zazuko/rdf-vocabularies?branch=master)\n[![npm version](https://badge.fury.io/js/%40zazuko%2Frdf-vocabularies.svg)](https://www.npmjs.com/package/@zazuko/rdf-vocabularies)\n\nThis package contains a distribution of the most commonly used RDF ontologies (schema/vocab, whatever you call it)\nincluding their default prefixes, together with a set of utility functions to work with prefixes.\n\nIt is extending [RDFa Core Initial Context](http://www.w3.org/2011/rdfa-context/rdfa-1.1) and contains what we consider\ncommonly used prefixes. Some popular prefixes do not resolve to dereferencable RDF and are thus skipped.\n\nThe package is built for use in Node.js projects. We ship N-Quads files of the vocabularies so it could be useful for\nother programming languages as well as you do not have to take care of downloading the ontologies yourself.\n\n## Installation\n\n```bash\n$ npm install @zazuko/rdf-vocabularies\n```\n\n## Usage\n\n(Read below and take a look at some [examples](./examples.js).)\n\n### Dataset-as-code modules\n\nAll vocabularies published by this package are also exported as JS modules so that then can be imported synchronously (no parsing required) and without additional dependencies when in web app setting (see the `raw-loader` instructions below).\n\nModules `@rdf-vocabularies/datasets` exports factories which returns an array of quads `Quad` and take RDF/JS `DataFactory` as parameter.\n\n```javascript\nconst $rdf = require('rdf-ext')\nconst { schema } = require('@zazuko/rdf-vocabularies/datasets')\n\nconst dataset = $rdf.dataset(schema($rdf))\n```\n\nIn a bundled web project it is also possible to directly import a single dataset like `import schema from '@zazuko/rdf-vocabularies/datasets/schema'`. At the time of writing this is not supported by newer versions of node (12-14) but has already been fixed and scheduled for release.\n\n### Vocabularies Metadata\n\nSee [`_index.nq`](./ontologies/_index.nq).\n\n### `vocabularies()`\n\nThe function (`require('@zazuko/rdf-vocabularies').vocabularies(options)`) accepts an optional `options` object:\n\n* `options.only: Array?`, default: `undefined`, a subset of all available prefixes, will only load these.\n* `options.factory: RDF/JS DatasetFactory`, default: [`rdf-ext`](https://github.com/rdf-ext/rdf-ext), a dataset\nfactory abiding by the [RDF/JS Dataset Specification](https://rdf.js.org/dataset-spec/), used to create the\nreturned datasets.\n* `options.stream: Boolean`, default: `false`, whether to return a RDF/JS quad stream instead of regular objects/datasets.\n\n#### Loading all Vocabularies as Datasets\n\nIn browser environment this will cause a request for each individual dataset.\nIt is thus recommended to always only [load the needed ontologies](#loading-only-some-ontologies-as-datasets)\nto reduce the unnecessary traffic and save bandwidth.\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\n\nvocabularies()\n .then((datasets) => {\n /* `datasets` is:\n {\n \"csvw\": Dataset,\n \"sd\": Dataset,\n \"ldp\": Dataset,\n \"schema\": Dataset,\n \"owl\": Dataset,\n \"void\": Dataset,\n \"sioc\": Dataset,\n \"foaf\": Dataset,\n \"time\": Dataset,\n \"dcat\": Dataset,\n \"oa\": Dataset,\n \"gr\": Dataset,\n \"rdf\": Dataset,\n \"cc\": Dataset,\n \"ssn\": Dataset,\n \"rr\": Dataset,\n \"rdfa\": Dataset,\n \"org\": Dataset,\n \"sosa\": Dataset,\n \"dc11\": Dataset,\n \"skos\": Dataset,\n \"dqv\": Dataset,\n \"prov\": Dataset,\n \"og\": Dataset,\n \"qb\": Dataset,\n \"rdfs\": Dataset,\n \"dc\": Dataset,\n \"ma\": Dataset,\n \"vcard\": Dataset,\n \"grddl\": Dataset,\n \"dcterms\": Dataset,\n \"skosxl\": Dataset,\n \"wgs\": Dataset,\n \"dbo\": Dataset,\n \"dbpedia\": Dataset,\n \"dbpprop\": Dataset,\n \"rss\": Dataset,\n \"cnt\": Dataset,\n \"vs\": Dataset,\n \"hydra\": Dataset,\n \"gn\": Dataset,\n \"gtfs\": Dataset,\n \"geo\": Dataset,\n \"geof\": Dataset,\n \"geor\": Dataset\n }\n */\n })\n```\n\n#### Loading only some Vocabularies as Datasets\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\n\nvocabularies({ only: ['rdfs', 'owl', 'skos'] })\n .then((datasets) => {\n /* `datasets` is:\n {\n \"owl\": Dataset,\n \"skos\": Dataset,\n \"rdfs\": Dataset\n }\n */\n })\n```\n\n#### Getting a Readable Stream (Quad Stream)\n\n```js\nconst { vocabularies } = require('@zazuko/rdf-vocabularies')\nconst stream = await vocabularies({ stream: true, only: ['rdfs', 'owl', 'skos'] })\n```\n\n### Using `vocabularies` function in browser\n\nThe preferred usage in browser projects is to avoid importing from `@zazuko/rdf-vocabularies` because that will require additional bundling of dynamic n-quads modules.\n\nInstead, import from the partial modules:\n\n* `import { expand } from '@zazuko/rdf-vocabularies/expand'`\n* `import { prefixes } from '@zazuko/rdf-vocabularies/prefixes'`\n* `import { shrink } from '@zazuko/rdf-vocabularies/shrink'`\n\nThe module `@zazuko/rdf-vocabularies/expandWithCheck` requires `rdf-ext` and parses datasets. See the instructions below for examples how to configure the application.\n\nThe package's main module can also be used in browser albeit it needs a bundler such as webpack and additional steps to configure it:\n\nThe package can be used in browser albeit it needs a bundler such as webpack and additional steps to configure it:\n\n* Enable [dynamic imports](https://medium.com/front-end-weekly/webpack-and-dynamic-imports-doing-it-right-72549ff49234).\n In webpack it is done with [@babel/plugin-syntax-dynamic-import](https://babeljs.io/docs/en/babel-plugin-syntax-dynamic-import)\n* Extend the bundler setup to have it load the contents of vocabulary files (all n-triples). In\n In webpack it can be done with [`raw-loader`](https://github.com/webpack-contrib/raw-loader):\n\n module: {\n rules: [\n {\n test: /\\.nq$/,\n use: ['raw-loader']\n }\n ]\n }\n* Be careful with prefetching chunks. Some applications may generate prefetch links for dynamically loaded chunks.\nSome of the ontology files are quite large and their number will grow over time. Hence, it may be desired to exclude\ncertain chunks from the being eagerly loaded. Check the [wiki](https://github.com/zazuko/rdf-vocabularies/wiki/Example-web-app-config) for examples.\n\n### Expanding a Prefix\n\n`expand`ing means: `'xsd:dateTime' → 'http://www.w3.org/2001/XMLSchema#dateTime'`.\nIt is the opposite of [`shrink`](#shrinking-an-iri)ing: \n`expand(shrink('http://www.w3.org/2001/XMLSchema#dateTime')) === 'http://www.w3.org/2001/XMLSchema#dateTime'`\n\nThere are two ways of expanding a prefix:\n\n* `vocabularies.expand(prefixedTerm: String): String` synchronous\n\n Expand without checks. It is similar to prefix.cc in the sense that prefix.cc would expand\n `schema:ImNotInSchemaDotOrg` to `http://schema.org/ImNotInSchemaDotOrg`.\n\n* `vocabularies.expand(prefixedTerm: String, types: Array): Promise` **asynchronous**\n\n Expand with type checks. `types` is an array of strings or NamedNodes. See this example:\n\n ```js\n const { expand } = require('@zazuko/rdf-vocabularies')\n const Class = expand('rdfs:Class')\n const Property = expand('rdf:Property')\n\n // Will return expanded to `http://schema.org/Person`\n // iff the dataset contains either:\n // \n // or\n // \n await expand('schema:Person', [Class, Property])\n ```\n\n### Shrinking an IRI\n\n`shrink`ing means: `'http://www.w3.org/2001/XMLSchema#dateTime' → 'xsd:dateTime'`.\nIt is the opposite of [`expand`](#expanding-a-prefix)ing: \n`shrink(expand('xsd:dateTime')) === 'xsd:dateTime'`\n\n* `vocabularies.shrink(iri: String): String`\n\n **Note**: returns empty string when there is no corresponding prefix. Always check the output\n when using `shrink` with user-provided strings.\n\n ```js\n const assert = require('assert')\n const { shrink } = require('@zazuko/rdf-vocabularies')\n\n assert(shrink('http://www.w3.org/2001/XMLSchema#dateTime') === 'xsd:dateTime')\n assert(shrink('http://example.com#nothing') === '')\n\n const iri = 'http://example.com#nothing'\n const stringToDisplay = shrink(iri) || iri\n console.log(stringToDisplay) // 'http://example.com#nothing'\n ```\n\n### Accessing Prefixes: `vocabularies.prefixes`\n\nGetting an object with prefixes and their base URI: \n(Returns [this object](./src/prefixes.ts).)\n\n```js\nconst { prefixes } = require('@zazuko/rdf-vocabularies')\n\nconsole.log(prefixes)\n/*\n {\n v: 'http://rdf.data-vocabulary.org/#',\n csvw: 'http://www.w3.org/ns/csvw#',\n sd: 'http://www.w3.org/ns/sparql-service-description#',\n …\n}\n*/\n```\n\n### Accessing Data Files from the Package\n\nAccessing the N-Quads files:\n\n```js\nconst path = require('path')\nconsole.log(path.resolve(require.resolve('@zazuko/rdf-vocabularies'), '..', 'ontologies', 'skos.nq'))\n```\n\n### Command line\n\nThe package also includes a simple command line interface which forwards the vocabulary datasets to standard output. It can be used in two ways.\n\nBy prefix:\n\n```\nrdf-vocab prefix foaf\n```\n\nBy namespace URI:\n\n```\nrdf-vocab prefix http://schema.org/\n```\n\n## Versioning Scheme\n\nThis package is [vendoring ontologies](./ontologies/). These will be updated periodically.\n\nThis package is versioned using the date at which the data was pulled, e.g. `@zazuko/rdf-vocabularies@2019.04.30`.\n\nUpdating the vendored ontologies is achieved using `npm run fetch` in this package.\n\n## Adding new prefixes\n\nNew prefixes can be added by opening a pull request on Github. For new requests, first check if the creator/owner\nof the namespace defined a prefix. If not check [prefix.cc](http://prefix.cc/). In case prefix.cc is ambiguous a\ndiscussion should be raised before the pull-requests gets integrated. Last thing to check are the predefined namespaces\nin the [DBpedia SPARQL endpoint](http://dbpedia.org/sparql?nsdecl) or other popular RDF resources like\n[LOV](https://lov.linkeddata.es/dataset/lov/vocabs). If you find one please refer to it in the pull request.\n\n### Steps to add a prefix\n\n1. Add an entry in [`src/prefixes.ts`](src/prefixes.ts)\n1. If necessary, add an entry to [`overrides.ts`](overrides.ts), similar to the others\n * for the `file` option, a `file:` scheme IRI can be used, with path relative to the repository root\n1. Run `npm run fetch -- ` with the prefix passed as parameter.\n * multiple prefixes can also be to fetch multiple ontologies\n1. Commit changes and submit a PR\n\n### Project-specific prefixes\n\nIt is also possible to add prefix within a project so that it can be used with the functions [`expand`](#expanding-a-prefix) and [`shrink`](#shrinking-an-iri).\n\n```js\nimport { prefixes, expand, shrink } from '@zazuko/rdf-vocabularies'\n\nprefixes['foo'] = 'http://example.com/'\n\n// 'http://example.com/bar'\nconst foobar = expand('foo:bar')\n\n// 'foo:bar'\nconst prefixed = shrink(foobar)\n```\n","readmeFilename":"README.md"}