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This is a plugin extend Simple metadata plugin functionality with a detailed description of the schema metadata with educational vocabularies:
- Educational metadata (LRMI) trough schema
- Squema.org
- Dublin Core
- Google schoolar
- Coins
- LOM
This plugin is unbranded! This means that we don’t even put the name “Simple metadata education” anywhere within the WordPress interface, aside from the plugin activation page. This plugin makes great use of the default WordPress interface elements, like as if this plugin is part of WordPress. No ads, no nags.
Nobody has to know about the tools you’ve used to create your or someone else’s website. A clean interface, for everyone.
The LRMI has developed a common metadata framework for describing or ‘tagging’ learning resources on the web. This framework is a key first step in developing a richer, more fruitful search experience for educators and learners. The metadata schema developed by the LRMI is adopted by Schema.org, meaning that anyone who publishes or curates educational content can now use [LRMI markup to provide rich, education-specific metadata about their resources with the confidence that this metadata will be recognized by major search engines.
Other important characteristics of learning resources that are covered by Schema.org properties of CreativeWork
Dublin Core is an initiative to create a digital "library card catalog" for the Web. Dublin Core is made up of 15 metadata (data that describes data) elements that offer expanded cataloging information and improved document indexing for search engine programs.
Two forms of Dublin Core exist: Simple Dublin Core and Qualified Dublin Core. Simple Dublin Core expresses elements as attribute-value pairs using just the 15 metadata elements from the Dublin Core Metadata Element Set. Qualified Dublin Core increases the specificity of metadata by adding information about encoding schemes, enumerated lists of values, or other processing clues. While enabling searches to be more specific, qualifiers are also more complex and can pose challenges to interoperability.
Google Scholar is a search engine focused specifically on the discovery of scholarly literature as opposed to the broader google.com web search engine. Google Scholar provides search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites.
COinS (ContextObjects in Spans) is as “a simple, ad hoc community specification for publishing OpenURL references in HTML.” A microformat developed particularly to embed citation information. This extends the types information we can provide to tools that focus more on scholarly needs.
For example, the citation manager Zotero knows how to read COinS. So, when viewing one of our publications in a browser with Zotero installed, a folder icon will appear in the URL bar.
A vocabulary allows the markup of structured data in HTML documents.
On the Semantic Web, vocabularies define the concepts and relationships (also referred to as “terms”) used to describe and represent an area of concern. Vocabularies are used to classify the terms that can be used in a particular application, characterize possible relationships, and define possible constraints on using those terms. In practice, vocabularies can be very complex (with several thousands of terms) or very simple (describing one or two concepts only).
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