Three RDFa Recommendations Published

22 August 2013
Semantic Web Cube The RDFa Working Group today published three RDFa Recommendations. RDFa lets authors put machine-readable data in HTML documents. Using RDFa, authors may turn their existing human-visible text and links into machine-readable data without repeating content. Today's publications were:
  • HTML+RDFa 1.1, which defines rules and guidelines for adapting the RDFa Core 1.1 and RDFa Lite 1.1 specifications for use in HTML5 and XHTML5. The rules defined in this specification not only apply to HTML5 documents in non-XML and XML mode, but also to HTML4 and XHTML documents interpreted through the HTML5 parsing rules.
  • The group also published two Second Editions for RDFa Core 1.1 and XHTML+RDFa 1.1, folding in the errata reported by the community since their publication as Recommendations in June 2012; all changes were editorial.
  • The group also updated the a RDFa 1.1 Primer.
Learn more about the Semantic Web Activity.

Comments

Post a Comment

Popular posts from this blog

Basic optimization tips : Effects on traffic

Website optimization might sound like a technical rabbit hole, but even basic improvements can have a major impact on your site’s traffic. Whether you run a personal blog, a business site, or an e-commerce store, simple tweaks can make your site faster, more visible, and more user-friendly—resulting in more visitors and better engagement. 1. Improve Page Load Speed Why it matters: Visitors won’t wait around for a slow site. Studies show that 40% of users abandon a site if it takes more than 3 seconds to load. Optimization tips: Compress images using tools like TinyPNG or ImageOptim. Use lazy loading for images and videos. Minify CSS, JavaScript, and HTML. Enable browser caching and use a content delivery network (CDN). Traffic impact: A faster site means lower bounce rates, higher retention, and better rankings in Google—leading to increased organic traffic. 2. Mobile Optimization Why it matters: Over 50% of web traffic comes from mobile devices. Google also uses mobile-f...
Read more

Google's New Experiment: Unified Search Console Views with Social Channel Performance

Image
In a significant move toward holistic digital performance tracking, Google announced on December 8, 2025, an exciting new experiment in Google Search Console (GSC). This feature expands the Search Console Insights report to include performance data from associated social channels , providing site owners with a unified view of how their content performs across both their websites and social media profiles in Google Search results. This development reflects the evolving nature of online discovery, where users increasingly find content through social platforms like YouTube, TikTok, and Instagram before or alongside traditional web searches. For marketers, creators, and businesses, this could be a game-changer in understanding cross-platform visibility. What Is This New Experiment? Google is testing an integration that brings social channel metrics directly into Search Console Insights. Previously, Insights focused solely on website performance in Google Search. Now, for selected proper...
Read more

Multimodal and Video SEO in 2026: Why Video Content Is Dominating Search Results

Image
As we enter 2026, one of the most transformative trends in SEO is the rise of multimodal search and the increasing prominence of video content in traditional search engine results pages (SERPs). Google's algorithms now deeply understand and integrate text, images, audio, and video—making video not just a nice-to-have, but a critical component for visibility. YouTube videos frequently appear in Google carousels and rich results, while AI-powered features like AI Overviews and multimodal queries pull in video snippets directly. This shift means optimizing for video SEO is essential for capturing organic traffic across Google, YouTube, and emerging AI search experiences. What Is Multimodal SEO? Multimodal SEO optimizes content that combines multiple formats—text, images, video, and audio—to align with how modern search engines process queries. Google's advancements, including Gemini models and Project Astra, enable true multimodal understanding: analyzing visuals, spoken words,...
Read more