- Oct 2023
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hbz.github.io hbz.github.io
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github.com github.com
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perso.liris.cnrs.fr perso.liris.cnrs.fr
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w3c.github.io w3c.github.io
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www.baeldung.com www.baeldung.com
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www.w3.org www.w3.org
- Sep 2023
- May 2023
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www.npmjs.com www.npmjs.com
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- Apr 2023
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www.w3.org www.w3.org
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schema.org schema.org
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iiif.io iiif.io
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jpadfield.github.io jpadfield.github.io
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vocab.getty.edu vocab.getty.edu
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linked.art linked.artModel1
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linked.art linked.art
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linked.art linked.art
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- Feb 2023
- Jan 2023
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openprovenance.org openprovenance.org
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blog.datacite.org blog.datacite.org
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console $ curl -LH "Accept: application/vnd.schemaorg.ld+json" https://doi.org/10.5438/4K3M-NYVG { "@context": "http://schema.org", "@type": "ScholarlyArticle", "@id": "https://doi.org/10.5438/4k3m-nyvg", "url": "https://blog.datacite.org/eating-your-own-dog-food/", "additionalType": "BlogPosting", "name": "Eating your own Dog Food", "author": { "name": "Martin Fenner", "givenName": "Martin", "familyName": "Fenner", "@id": "https://orcid.org/0000-0003-1419-2405" }, "description": "Eating your own dog food is a slang term to describe that an organization should itself use the products and services it provides. For DataCite this means that we should use DOIs with appropriate metadata and strategies for long-term preservation for...", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "version": "1.0", "keywords": "datacite, doi, metadata, FOS: Computer and information sciences", "inLanguage": "en", "dateCreated": "2016-12-20", "datePublished": "2016-12-20", "dateModified": "2016-12-20", "isPartOf": { "@id": "https://doi.org/10.5438/0000-00ss", "@type": "CreativeWork" }, "citation": [ { "@id": "https://doi.org/10.5438/0012", "@type": "CreativeWork" }, { "@id": "https://doi.org/10.5438/55e5-t5c0", "@type": "CreativeWork" } ], "schemaVersion": "http://datacite.org/schema/kernel-4", "periodical": { "@type": "Series", "identifier": "10.5438/0000-00SS", "identifierType": "DOI" }, "publisher": { "@type": "Organization", "name": "DataCite" }, "provider": { "@type": "Organization", "name": "datacite" } }
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json-ld.github.io json-ld.github.ioYAML-LD1
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- Dec 2022
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www.imsglobal.org www.imsglobal.org
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www.imsglobal.org www.imsglobal.org
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www.jeremydormitzer.com www.jeremydormitzer.com
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w3c.github.io w3c.github.io
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linkml.io linkml.io
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- Nov 2022
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synalp.frama.io synalp.frama.ioSciFed1
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phochste.github.io phochste.github.io
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webmasters.stackexchange.com webmasters.stackexchange.com
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The @id keyword allows you to give a node a URI. This URI identifies the node. See Node Identifiers in the JSON-LD spec. (The equivalent in Microdata is the itemid attribute, and the equivalent in RDFa Lite is the resource attribute.)
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developer.yoast.com developer.yoast.com
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docs.joinpeertube.org docs.joinpeertube.org
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comunica.dev comunica.dev
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- Sep 2022
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datalanguage.com datalanguage.com
- Aug 2022
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schema.org schema.org
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schemantra.com schemantra.com
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www.w3.org www.w3.org
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www.w3.org www.w3.org
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www.w3.org www.w3.org
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schema.org schema.org
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musicbrainz.org musicbrainz.org
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bash curl -H 'Accept: application/ld+json' https://musicbrainz.org/artist/20ff3303-4fe2-4a47-a1b6-291e26aa3438
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- Jun 2022
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developers.google.com developers.google.com
- May 2022
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www.bobdc.com www.bobdc.com
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w3c.github.io w3c.github.io
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www.hydra-cg.com www.hydra-cg.com
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``` HTTP/1.1 200 OK Content-Type: application/ld+json Link: http://api.example.com/doc/; rel="http://www.w3.org/ns/hydra/core#apiDocumentation"
{ "@context": "http://www.w3.org/ns/hydra/context.jsonld", "@graph": [{ "@id": "http://api.example.com/people", "@type": "hydra:Collection", "api:personByName": "api:PersonByNameTemplate" }, { "@id": "http://api.example.com/events", "@type": "hydra:Collection", "api:eventByName": "api:EventByNameTemplate" } } ```
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www.autoidlabs.org.uk www.autoidlabs.org.uk
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www.gs1.org www.gs1.org
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The GS1 Web Vocabulary collects terms defined in various GS1 standards and data systems and made available for general use following Linked Data principles. It is designed as an extension to schema.org and, where relevant, mappings and relationships arising from that vocabulary are made explicit. The initial focus of the GS1 Web Vocabulary is consumer-facing properties for clothing, shoes, food beverage/tobacco and properties common to all products.
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drafts.opds.io drafts.opds.io
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www.slideshare.net www.slideshare.net
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www.slideshare.net www.slideshare.net
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developers.google.com developers.google.com
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```html
<script type="application/ld+json"> { "@context": "https://schema.org", "@type": ["MathSolver", "LearningResource"], "name": "An awesome math solver", "url": "https://www.mathdomain.com/", "usageInfo": "https://www.mathdomain.com/privacy", "inLanguage": "en", "potentialAction": [{ "@type": "SolveMathAction", "target": "https://mathdomain.com/solve?q={math_expression_string}", "mathExpression-input": "required name=math_expression_string", "eduQuestionType": ["Polynomial Equation","Derivative"] }], "learningResourceType": "Math solver" }, { "@context": "https://schema.org", "@type": ["MathSolver", "LearningResource"], "name": "Un solucionador de matemáticas increíble", "url": "https://es.mathdomain.com/", "usageInfo": "https://es.mathdomain.com/privacy", "inLanguage": "es", "potentialAction": [{ "@type": "SolveMathAction", "target": "https://es.mathdomain.com/solve?q={math_expression_string}", "mathExpression-input": "required name=math_expression_string", "eduQuestionType": ["Polynomial Equation","Derivative"] }], "learningResourceType": "Math solver" } </script>```
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lune.space lune.space
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www.researchobject.org www.researchobject.org
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www.researchobject.org www.researchobject.org
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zenodo.org zenodo.org
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- Apr 2022
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info.orcid.org info.orcid.org
- Mar 2022
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road.issn.org road.issn.org
- Jan 2022
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github.com github.com
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An extension to python markdown that takes metadata embedded as YAML in a page of markdown and render it as JSON-LD in the HTML created by MkDocs.
YAML input
"@context": "http://schema.org" "@id": "#lesson1" "@type": - CreativeWork learningResourceType: LessonPlan hasPart: { "@id": "#activity1" } author: "@type": Person name: Phil Barker
Default JSON-LD output
<script type="application/ld+json"> { "@context": "http://schema.org", "@id": "#lesson1", "@type":["CreativeWork"], "learningResourceType": "LessonPlan", "name": "Practice Counting Strategies", "hasPart": { "@id": "#activity1-1" } "author": { "@type": "Person" "name": "Phil Barker" } } </script>
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blogs.pjjk.net blogs.pjjk.net
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The metadata that we use for OCX is a profile of schema.org / LRMI, OERSchema and few bits that we have added because we couldn’t find them elsewhere. Here’s what (mostly) schema.org metadata looks like in YAML:
"@context": - "http://schema.org" - "oer": "http://oerschema.org/" - "ocx": "https://github.com/K12OCX/k12ocx-specs/" "@id": "#Lesson1" "@type": - oer:Lesson - CreativeWork learningResourceType: LessonPlan hasPart: "@id": "#activity1-1" author: "@type": Person name: Phil Barker
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I’ve been experimenting with ways of putting JSON-LD schema.org metadata into HTML created by MkDocs. The result is a python-markdown plugin that will (hopefully) find blocks of YAML in markdown and insert then into the HTML that is generated.
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www.hypergraphql.org www.hypergraphql.org
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HyperGraphQL is a GraphQL interface for querying and serving linked data on the Web. It is designed to support federated querying and exposing data from multiple linked data services using GraphQL query language and schemas. The basic response format is JSON-LD, which extends the standard JSON with the JSON-LD context enabling semantic disambiguation of the contained data.
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{ "@context": { "doap": "http://usefulinc.com/ns/doap#", "url": "@id", "name": "doap:name", "description": "doap:description", "author": "doap:maintainter", "license": "doap:license", // can we map values to https://spdx.org/licenses/ ? ... }, "homepage": {"@id": "doap:homepage", "@type": "@id"} }
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www.openarchives.org www.openarchives.org
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pro.europeana.eu pro.europeana.eu
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The Annotations API is an extension to the Europeana REST API which allows you to create, retrieve and manage annotations on Europeana objects. Annotations are user-contributed or system-generated enhancements, additions or corrections to (or a selection of) metadata or media. We adopted the Web Annotation Data Model as a base model for the representation of annotations and as a format for exchanging annotations between client applications and the API, but also the Web Annotation Protocol as base HTTP protocol for the API.
Example:
{ "@context": “http://www.w3.org/ns/anno.jsonld” "id": "http://data.europeana.eu/annotations/1", "type": "Annotation", "created": "2015-03-10T14:08:07Z", "creator": { "type": "Person", "name": "John Smith" }, "generated": "2015-04-01T09:00:00Z", "generator": { "type": "Software", "name": "HistoryPin", "homepage": "https://www.historypin.org/" }, "motivation": "tagging", "bodyValue": "MyBeautifulTag", "target": "http://data.europeana.eu/item/92062/BibliographicResource_1000126189360" }
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linked.art linked.artAPI1
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openactive.io openactive.io
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The below illustrates a Dataset Site pointing to feeds consisting of
ScheduledSessions
,SessionSeries
, andEvents
. As the presence of thewebAPI
attribute indicates, data items from these feeds are bookable.<script type="application/ld+json`/"> { "@context":[ "https://schema.org/", "https://openactive.io/", "https://openactive.io/ns-beta" ], "@type":"Dataset", "@id":"https://data.example.com/", "name":"Example Sessions and Events", "description":"Near real-time availability and rich descriptions relating to sessions and events available from Example.com", "url":"https://data.example.com/", "dateModified":"2019-08-25T11:23:27+00:00", "keywords":[ "Courses", "Sessions", "Events", "Activities", "Sports", "Physical Activity", "OpenActive" ], "schemaVersion":"https://www.openactive.io/modelling-opportunity-data/2.0/", "license":"https://creativecommons.org/licenses/by/4.0/", "publisher":{ "@type":"Organization", "name":"Example.com", "description":"Example.com makes it easy to get active!", "url":"https://example.com/home", "legalName":"Example Ltd", "logo":{ "@type":"ImageObject", "url":"https://cdn.example.com/assets/logo.png" }, "email":"support@example.com" }, "discussionUrl":"https://github.com/example/repo/issues", "datePublished":"2019-07-11T00:00:00+00:00", "inLanguage":[ "en-GB" ], "distribution":[ { "@type":"DataDownload", "name":"ScheduledSession", "additionalType":"https://openactive.io/ScheduledSession", "encodingFormat":"application/vnd.openactive.rpde+json; version=1", "contentUrl":"https://example.com/api/openactive/scheduledsessions", "totalItems": 1852 }, { "@type":"DataDownload", "name":"SessionSeries", "additionalType":"https://openactive.io/SessionSeries", "encodingFormat":"application/vnd.openactive.rpde+json; version=1", "contentUrl":"https://example.com/api/openactive/sessionseries", "totalItems": 361 }, { "@type":"DataDownload", "name":"Event", "additionalType":"https://schema.org/Event", "encodingFormat":"application/vnd.openactive.rpde+json; version=1", "contentUrl":"https://example.com/api/openactive/events", "totalItems": 1906 } ], "backgroundImage":{ "@type":"ImageObject", "url":"https://cdn.example.com/images/background.jpg" }, "documentation":"https://developer.openactive.io/", "accessService":{ "@type":"WebAPI", "name":"Open Booking API", "description":"The Open Booking API lets you to book OpenActive Opportunities. The API uses standard schema.org types and is compliant with the JSON-LD specification.", "documentation":"https://openactive.io/open-booking-api/EditorsDraft", "termsOfService":"https://example.com/api/booking/documentation/terms-of-service", "provider": { "@type": "Organization", "name":"examplebooking.com", "description":"examplebooking.com makes it easy to get booking!", "url":"https://examplebooking.com/home", "email":"support@examplebooking.com" }, "endpointUrl":"https://example.com/api/booking/", "conformsTo":[ "https://www.openactive.io/open-booking-api/2.0/" ], "endpointDescription":"https://www.openactive.io/open-booking-api/2.0/swagger.json", "bookingService": { "@type": "SoftwareApplication", "name": "nyExampleBookingPlatform", "softwareVersion": "1.2", "url": "https://www.example.com/myExampleBookingPlatform", "featureList": "https://www.example.com" } } } </script>
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- Dec 2021
-
www.rubensworks.net www.rubensworks.net
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{ "@context": { "oa": "http://www.w3.org/ns/oa#", "dc": "http://purl.org/dc/elements/1.1/", "dcterms": "http://purl.org/dc/terms/", "dctypes": "http://purl.org/dc/dcmitype/", "foaf": "http://xmlns.com/foaf/0.1/", "rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#", "rdfs": "http://www.w3.org/2000/01/rdf-schema#", "skos": "http://www.w3.org/2004/02/skos/core#", "text": { "@id": "oa:hasBody" }, "target": { "@type": "@id", "@id": "oa:hasTarget" }, "source": { "@type": "@id", "@id": "oa:hasSource" }, "selector": { "@type": "@id", "@id": "oa:hasSelector" }, "state": { "@type": "@id", "@id": "oa:hasState" }, "scope": { "@type": "@id", "@id": "oa:hasScope" }, "user": { "@type": "@id", "@id": "oa:annotatedBy" }, "serializedBy": { "@type": "@id", "@id": "oa:serializedBy" }, "motivation": { "@type": "@id", "@id": "oa:motivatedBy" }, "stylesheet": { "@type": "@id", "@id": "oa:styledBy" }, "cached": { "@type": "@id", "@id": "oa:cachedSource" }, "conformsTo": { "@type": "@id", "@id": "dcterms:conformsTo" }, "members": { "@type": "@id", "@id": "oa:membershipList", "@container": "@list" }, "item": { "@type": "@id", "@id": "oa:item" }, "related": { "@type": "@id", "@id": "skos:related" }, "format": "dc:format", "language": "dc:language", "created": "oa:annotatedAt", "updated": "oa:serializedAt", "when": "oa:when", "value": "rdf:value", "start": "oa:start", "end": "oa:end", "exact": "oa:exact", "prefix": "oa:prefix", "suffix": "oa:suffix", "label": "rdfs:label", "name": "foaf:name", "mbox": "foaf:mbox", "nick": "foaf:nick", "styleClass": "oa:styleClass", "@base": "http://hypothes.is/api/annotations/", "id": "@id", "tags": "oa:Tag" }, "updated": "2014-09-18T21:43:16.353744+00:00", "target": [ { "source": "http://faculty.georgetown.edu/irvinem/theory/Berners-Lee-HTTP-proposal.pdf", "pos": { "top": 549.5, "height": 17 }, "selector": [ { "type": "RangeSelector", "startContainer": "/div[1]/div[2]/div[4]/div[1]/div[1]/div[2]/div[16]", "endContainer": "/div[1]/div[2]/div[4]/div[1]/div[1]/div[2]/div[16]", "startOffset": 0, "endOffset": 7 }, { "start": 397, "end": 404, "type": "TextPositionSelector" }, { "type": "TextQuoteSelector", "prefix": "information Hypermedia CERNDOC", "exact": "ENQUIRE", "suffix": "Tim Berners-Lee section group C" } ] } ], "created": "2014-09-18T21:32:13.492351+00:00", "text": "As featured in \"Weaving the Web\" by Tim Berners-Lee", "tags": [ "web", "history" ], "uri": "http://faculty.georgetown.edu/irvinem/theory/Berners-Lee-HTTP-proposal.pdf", "user": "acct:BigBlueHat@hypothes.is", "document": { "eprints": {}, "title": "Berners-Lee-HTTP-proposal.pdf", "twitter": {}, "dc": {}, "prism": {}, "highwire": {}, "facebook": {}, "reply_to": [], "link": [ { "href": "http://faculty.georgetown.edu/irvinem/theory/Berners-Lee-HTTP-proposal.pdf" } ] }, "consumer": "00000000-0000-0000-0000-000000000000", "id": "Gk_TW9d_SyCG5cFH4UCy9A", "permissions": { "admin": [ "acct:BigBlueHat@hypothes.is" ], "read": [ "acct:BigBlueHat@hypothes.is", "group:__world__" ], "update": [ "acct:BigBlueHat@hypothes.is" ], "delete": [ "acct:BigBlueHat@hypothes.is" ] } }
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json-ld.org json-ld.org
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cloudbees.com cloudbees.com
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comunica.github.io comunica.github.io
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Transparent data access
JavaScript Proxies enable LDflex processors to translate path expressions to SPARQL queries and resolve them through a query engine (e.g. Comunica)
await [https://julianrojas.org/#me].name
SELECT ?name WHERE { <https://julianrojas.org/#me> <http://xmlns.com/foaf/0.1/name> ?name. }
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Support for data writing
LDflex allows for writing/updating knowledge graphs that support SPARQL UPDATE operations such as SPARQL endpoints and Solid pods.
For example this expression:
await [https://julianrojas.solid.org/profile/#me].add('foaf:givenName' , 'Julian');
Will be translated to this SPARQL UPDATE query:
INSERT DATA { <https://julianrojas.solid.org/profile/#me> <http://xmlns.com/foaf/0.1/givenName> "Julian". }
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How does it work? Thanks to JSON-LD contexts and JavaScript Proxies we can treat Linked Data graphs as local objects The await keyword allows waiting for remote HTTP requests
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Traverse Linked Data as JS objects
await [https://julianrojas.org/#me].name // "Julián Rojas" await [https://julianrojas.org/#me].friends.name // ["Ruben Verborgh", "Ruben Taelman", ...]
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github.com github.com
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json-ld.org json-ld.org
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webannotation.org webannotation.org
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docmaps.knowledgefutures.org docmaps.knowledgefutures.org
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- Nov 2021
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www.youtube.com www.youtube.com
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www.youtube.com www.youtube.com
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hbz.github.io hbz.github.io
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- Oct 2021
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www.w3.org www.w3.org
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- Oct 2020
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aaronparecki.com aaronparecki.com
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Over the years, Google has gone from recommending uploading a text file, to parsing RDFa with a slightly modified Microformats vocabulary, to going all-in on Microdata, to then replacing Microdata with JSON-LD and the new Schema.org vocabulary. In the mean time, the Microformats hReview vocabulary hasn't changed, and has continued to be parsed by Google since it is so widely deployed. It would seem there is some advantage to using a format that was developed externally from Google, since they are unable to simply turn their backs on it and replace it with a new format whenever they want. For this reason, I'm sticking with publishing the Microformats 1 hReview markup for my reviews.
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- Jul 2020
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github.com github.com
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stackoverflow.com stackoverflow.com
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Note that the point of JSON-LD is that it's just JSON, in this case using the schema.org context to interpret the values.
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json-ld.org json-ld.org
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- Oct 2018
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developers.google.com developers.google.com
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schema.press schema.press
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datalanguage.com datalanguage.com
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blog.codeship.com blog.codeship.com
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github.com github.com
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Components.js is a dependency injection framework for JavaScript applications. Instead of hard-wiring software components together, Components.js allows these components to be instantiated and wired together declaratively using semantic configuration files. The advantage of these semantic configuration files is that software components can be uniquely and globally identified using URIs. Configurations can be written in any RDF serialization, such as JSON-LD. This software is aimed for developers who want to build modular and easily configurable and rewireable JavaScript applications.
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manu.sporny.org manu.sporny.org
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manu.sporny.org manu.sporny.org
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If you want to make the Semantic Web a reality, stop making the case for it and spend your time doing something more useful, like actually making machines smarter or helping people publish data in a way that’s useful to them.
Soooo true !
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- Sep 2018
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npm.runkit.com npm.runkit.com
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github.com github.com
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rdf-translator.appspot.com rdf-translator.appspot.com
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RDF Translator is a multi-format conversion tool for structured markup. It provides translations between data formats ranging from RDF/XML to RDFa or Microdata. The service allows for conversions triggered either by URI or by direct text input. Furthermore it comes with a straightforward REST API for developers.
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stackoverflow.com stackoverflow.com
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1 down vote unaccept It's necessary that the term match the IRI you use for the property. For example, schema.org defines name as http://schema.org/name. In your example, you have http://www.schema.org/name. There are also several places where values which should be IRIs (URLs) are treated as text, for this you want to use something like "http://schema.org/image": {"@id": "/static/track_images_200/lr1734_2009720_1372375126.jpg"} Part of term selection looks to be sure that a value matches the appropriate @type definition within the context. For example, image is set to {"@type": "@id"}, so it will only match things that look like that.
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stackoverflow.com stackoverflow.com
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{ "@context": "https://schema.org/docs/jsonldcontext.json", "@type": ["Article", "NewsArticle", "TechArticle", "ScholarlyArticle"], "author": { "@embed": "@always" }, "creator": { "@embed": "@always" } }
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github.com github.com
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stackoverflow.com stackoverflow.com
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<script type="application/ld+json"> { "@context": "http://schema.org", "@type" : "WebPage", "name" : "The Name of the Webpage", "author" : { "@type" : "Person", "@id": "#tim", "name" : "Tim" }, "creator": { "@id": "#tim" }, "copyrightHolder": { "@id": "#tim" } } </script>
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www.slideshare.net www.slideshare.net
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www.slideshare.net www.slideshare.net
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www.w3.org www.w3.org
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www.oclc.org www.oclc.org
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Pitfalls of Framed JSON-LD The choice to provide framed JSON-LD does have some downsides, though. Any entity within the graph that is repeated is only fully referenced in the flattened, framed JSON-LD. This behavior is most evident when viewing an autobiographic work, such as "The autobiography of Benjamin Franklin, 1706-1757". In the example below, you can see that the entity representing Benjamin Franklin is both a schema:creator and a schema:about. However, Benjamin Franklin’s full details only appear in one place in the framed JSON-LD. This is problematic for someone using the data in an object-oriented manner rather than treating it as a graph.
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json-ld.org json-ld.org
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json-ld.org json-ld.org
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stackoverflow.com stackoverflow.com
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developers.google.com developers.google.com
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bentaylor2.github.io bentaylor2.github.io
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www.slideshare.net www.slideshare.net
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www.w3.org www.w3.org
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A JSON-LD document is a representation of a directed graph. A single directed graph can have many different serializations, each expressing exactly the same information. Developers typically work with trees, represented as JSON objects. While mapping a graph to a tree can be done, the layout of the end result must be specified in advance. A Frame can be used by a developer on a JSON-LD document to specify a deterministic layout for a graph.
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github.com github.com
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<link rel="alternate" href="manifest.json" media-type="application/webpub+json"/>
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www.w3.org www.w3.org
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github.com github.com
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www.npmjs.com www.npmjs.com
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- Nov 2016
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3gamma.com 3gamma.com
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Services rely on the interfaces between them to communicate and for this to work flawlessly, messages must have a format and semantics that every interface can read.
This makes JSON-LD (JSON for Linking Data http://json-ld.org/) and Hydra (A Vocabulary for Hypermedia-Driven Web APIs) interesting, see http://www.programmableweb.com/news/how-to-build-hypermedia-apis-json-ld-and-hydra/analysis/2015/07/30
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- Mar 2015
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lists.w3.org lists.w3.org
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The current algorithms in the JSON-LD spec do not support the conversion of list of lists to JSON-LD. This is a "Feature at risk" [1].
List of lists issue in JSON-LD.
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