Sentence examples for structured markup from inspiring English sources

The current article describes some of the experiences of one learned-society publisher in adding value to research publications through semantic markup and processing applied both explicitly, through a structured markup scheme, and implicitly through dynamic post-processing of specialised content in a known context.

Rich snippets and structured data markup will help Google better understand content, as well as help users understand what's on a page and why it's relevant to their query, which can result in higher click-through rates.

These tools also suffer from the difficulty that their very ease of use hides the underlying structure of the document from the author; and in consequence the author often does not appreciate the benefits of structured information markup.

For this purpose, we have designed the Rule Identification Markup Language (RIML), which is similar to the formal Rule Structure Markup Language (RSML), both as parts of XRML.

But don't forget about Magento 2. They've added some improvements to SEO, including the ability to add rich snippets and organize structure markup data, optimize search engine indexation by editing robots.txt files from the admin panel, and a more extensive set of tools for optimizing category pages.

Structural markup makes certain aspects of the document structure explicit: section divisions, headings, subsection structure, enumerated and bulleted lists, emphasized and quoted text, footnotes, tabular material, and so on.

Structural markup makes certain aspects of the document structure explicit including section divisions, headings, subsection structure, enumerated and bulleted lists, emphasized and quoted text, footnotes, tabular material, and so on; these structural items can be considered metadata for the document.

To use an Amazon Polly voice instead, developers would use Structured Speech Markup Language (SSML) and then specify which voice they want with the "voice name" tag.

We removed the XML markup and structured the data by Author ID and Conversation ID as shown in Table 5.

We know that implementing structured data like schema markup helps Google read pages and can provide rich snippets in search results, so any evolution in Google's search results to provide richer information for healthcare would be a welcome addition.

The Schema community builds markups for structured data on the internet.