Knows HyperText Markup Language, or HTML (1991+), as a language for “marking up” the content and multimedia components of Web pages. – Linked Data for Professional Education

Structured Data Linter

Fri, 21 Jul 2017 07:20:23 +0000

The Structured Data Linter is a tool aiding webmasters and web developers to verify the structured data present in their HTML pages. Search engines use structured data to understand webpages more accurately and to present enhanced search results. Linter understands microdata, JSON-LD and RDFa formats according to their latest specifications.
In addition to providing snippet visualizations for schema.org, Linter performs limited vocabulary validations for schema.org, Dublin Core Metadata Terms, Friend of a Friend (FOAF), GoodRelations, Facebook's Open Graph Protocol, Semantically-Interlinked Online Communities (SIOC), Facebook's Open Graph Protocol, Simple Knowledge Organization System (SKOS), and Data-Vocabulary.org.

URL: http://linter.structured-data.org/
Keywords: Rich snippets, RDFa, Microdata, Validation, Schema.org
Author: Kellogg, Gregg
Publisher: Structured Data Initiative
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: active

Structured Data Validator

Fri, 21 Jul 2017 07:20:23 +0000

This validator, one of several Yandex Webmaster tools, allows the user to check the semantic markup of a site to make sure that indexing robots can extract all the structured data. The validator lets the user check the most common microformats: microdata, schema.org, OpenGraph and RDF. However, not all formats support special snippets or the use of annotated data.

URL: https://webmaster.yandex.com/tools/microtest/
Keywords: Rich snippets, Microdata, RDFa, Schema.org, Validation
Publisher: Yandex
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M

Introduction to Linked Data

Fri, 05 May 2017 06:59:13 +0000

This paper describes Linked Data and how the "Web of Documents" can be transformed into a "Web of Data". This approach is contrasted with the limited opportunities for linking data in traditional MARC-based bibliographic records. It includes a brief explanation of LD principles and standards, then explains how data can be embedded into HTML in several RDF serializations.

URL: http://discovery.ucl.ac.uk/1449458/2/Intro%20to%20linked%20data%20C%26I174final.pdf
Keywords: Microdata, Schema.org, Turtle, RDF/XML, RDFa
Author: Meehan, Thomas
Date created: 2014-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: instruction
Educational audience: professional

Linked Data: Evolving the Web into a Global Data Space

Thu, 04 May 2017 06:59:04 +0000

This e-book gives an overview of the principles of Linked Data as well as the "Web of Data" that has emerged through the application of these principles. It discusses patterns for publishing Linked Data, describes deployed Linked Data applications, and examines their architecture.

URL: http://linkeddatabook.com/editions/1.0/
Keywords:
Author: Bizer, Christian
Publisher: Morgan & Claypool
Date created: 2011-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P2H
Educational audience: professional
Interactivity type: expositive

Walk Before You Run: Prerequisites to Linked Data

Thu, 29 Dec 2016 06:44:04 +0000

The speaker makes the case that Linked Data can not be implemented effectively in libraries if the "basics" are not covered first. This includes SEO, so that users will find digital libraries online. Traditional approaches are covered briefly, then the focus shifts to Semantic Web-ready techniques, including several Schema.org use cases.

URL: https://www.youtube.com/watch?v=erOclUjWuBc
Keywords: Search Engine Optimization (SEO), Schema.org, Libraries Archives and Museums (LAMs), DBpedia, Knowledge Graph
Author: Arlitsch, Kenning
Publisher: OCLC
Date created: 2015-02-25 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P25M

RDFa 1.1 Primer – Third Edition

Thu, 24 Nov 2016 05:51:18 +0000

Search engines have begun to provide richer search results by extracting structured details from the Web pages they crawl and, in turn, Web publishers are producing more structured data within their content to improve their standing with search engines. A key enabling technology behind these developments is the ability to add structured data to HTML pages directly using RDFa (Resource Description Framework in Attributes). This Primer shows how to express data in HTML using RDFa and, in particular, how to mark up existing human-readable Web page content to express machine-readable data.

URL: https://www.w3.org/TR/xhtml-rdfa-primer/
Keywords: HTTP URIs, Hypertext Markup Language (HTML), Schema.org
Author: Birbeck, Mark
Publisher: W3C
Date created: 2015-03-17 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

Getting Started with Schema.org Using Microdata

Sat, 16 Jan 2016 13:43:28 +0000

Schema.org provides a collection of shared vocabularies webmasters can use to mark up their pages in ways that can be understood by the major search engines: Google, Microsoft, Yandex and Yahoo! One uses the Schema.org vocabulary along with the Microdata, RDFa, or JSON-LD formats to add information to Web content. This guide will help the user get up to speed with Microdata and Schema.org to start adding markup to web pages. Although this guide focuses on Microdata, most examples on the Schema.org site show examples in RDFa and JSON-LD too. The basic ideas (types, properties etc.) introduced here are relevant beyond Microdata – take a look at the examples to see how the details compare.

URL: https://schema.org/docs/gs.html
Keywords: Hypertext Markup Language (HTML), Microdata, Schema.org
Publisher: Schema.org
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M

Semantic Web (Part 5): Dan Brickley, Schema.org

Abi Evans — Tue, 10 Nov 2015 05:13:01 +0000

Dan Brickley presents schema.org, a set of extensible schemas that enables webmasters to embed structured data on their web pages for use by search engines.

URL: https://www.youtube.com/watch?v=_-6mhdjE1XE
Keywords: Schema.org, Structured data, Semantic Web, Rich snippets
Author: Brickley, Dan
Publisher: BBC Academy
Date created: 2012-03-30 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: professionalDevelopment
Educational audience: generalPublic
Interactivity type: expositive

How to Use Microdata

Abi Evans — Tue, 10 Nov 2015 05:13:00 +0000

Microdata tells search engines, like Google, what the information on your website is. Whether it's an address, an image, ratings, or upcoming events, microdata will tell search engines exactly what they need to know so your information is displayed properly in search results.

URL: https://www.youtube.com/watch?v=YXpzHJl0iiA
Keywords: Microdata, Schema.org, Structured data, Property, Class
Publisher: mindscapehmtv
Date created: 2013-05-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: professionalDevelopment
Educational audience: student
Interactivity type: expositive

Schema.org and Entity Fields Builder

Abi Evans — Tue, 10 Nov 2015 05:13:00 +0000

Demonstrates how to use the Schema.org and Entity Fields Builder modules (for Drupal) to make site building easier, faster and more consistent. For further information, visit http://drupal.org/project/schemaorg and http://drupal.org/project/efb

URL: https://www.youtube.com/watch?v=oY0NJgDMtC0
Keywords: Drupal, Interoperability, RDFa, Entity, Class, Property, Semantic annotation, Schema.org
Author: Rampton, Sheldon
Date created: 2013-07-20 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M