Massage in Abha أبها مساج #مساج_أبها #Massage_in_Abha #Abha 💞🇸🇦💞 wa.me/966578307937 RDfa

WordPress開発での気づき💡 パンくずリストの構造化データ実装でGoogleのリッチリザルトエラーに苦戦。 RDFaからJSON-LDに切り替えたところ解消できました。 構造化データへの理解をもっと深めたい！

⎐كُـود⎐كوبِون⎐خـِصم⎐ ⎐نون⎐ ⊵S3Q⊴ ايهرب⊴ ايهيرب⊴ ⊵GCA5893⊴ ⎐ريف▬للعطور⎐ ⊵AX140⊴ ريــفا⎐ ⊴ASMAA⊴ المـطار ⊵M24⊴ ⎐ممزورلد⎐ ⊵ET11⊴ ❮▬نون▬ ❯ S3Q ___ Rdfa

Before anyone cites it, 3 caveats: > Counts domains, not pages/URLs > JSON-LD, Microdata & RDFa are merged > Google's index only All 5,545 terms, searchable filterable: natzir.com/schema-usage 6/7

XHTMLまで来たなら、次は意味論を添えて RDFa ですね！

browse v2.4.0 — Camoufox Runtime SEO/AEO/GEO Cloudflare Turnstile. DataDome. PerimeterX. Your agent just got past all of them. Camoufox is a patched Firefox that spoofs navigator, canvas, WebGL, WebRTC, audio context, fonts, screen, and timezone at the C level — where detection scripts actually look. Not user-agent strings. Not headers. The actual browser internals. Full config system — 26 options via browse.json or named profiles: - OS fingerprint, GeoIP, humanize delays, proxy, font list, screen size, WebRTC/WebGL blocking, Firefox prefs, addons. Three new SEO commands: - browse schema — JSON-LD, Microdata, RDFa extraction. - browse meta — title, description, canonical, OG, Twitter Card, robots, hreflang. - browse headings — H1-H6 hierarchy with count summary. Five end-to-end skills: /browse-seo — full SEO audit with scored report. /browse-aeo — Answer Engine Optimization. FAQ schema, answer readiness, Google AI Overviews, Perplexity citations. /browse-geo — Generative Engine Optimization. Brand visibility across Google AI Overviews, Perplexity, ChatGPT Search. Cross-engine visibility matrix. /browse-config — guided camoufox profile generator. /browse-stealth — Turnstile bypass, Google anti-bot, authenticated sessions, proxy rotation.

github.com/meta-introspector… escaped rdfa export now as a rust backed python plugin to export your python data into the future. #SOLFUNMEME

A pleasure to welcome the members & many old friends from the Royal Dublin Fusiliers Association to the Somme Museum. John Sheehan, Assistant Chairman RDFA made a presentation to Carol of the history of the RDF. Carol pictured with Tom Burke, President & Brian Moroney, Chair.

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Cumplimos un añito en X... Echamos a andar con el anhelo de difundir entre el gran público contenidos relacionados con la Germanística y volcar en esta red las novedades que publicamos y algunos artículos previos. Seguimos aquí para quedarnos. Somos la RdFA. #MiAniversarioDeX

silcon valley has declared war on semantics github.com/Escaped-RDFa/name… escaped stego rdfa is the escape hatch. sponsored by #SOLFUNMEME

I updated the escaped rdfa spec github.com/Escaped-RDFa/name… this is the foundation for multi layer embedding of semantics. This is the basic idea I am using for the blockchains, we treat solana memos and unused bits as a data stream we can embed semantics into while lowering costs

So I downloaded and Vectorized chunked around 9,000 Google patents. Then created a cool little tool that writes based off those chunks. Here's the response it had: Architecture Overview Schema markup, also known as structured data, is a form of microdata that creates an enhanced description commonly known as a rich snippet , which appears in search results. While Google's PageRank algorithm, as described in patent US6285999B1, focuses on link-based ranking, schema markup is not directly mentioned as a ranking factor in this patent. However, schema can influence search results by improving the visibility and click-through rate of a webpage. Schema markup is processed by Google's search systems to better understand the content of a webpage. This understanding can affect how the page is displayed in search results, potentially impacting user interaction metrics, which can indirectly influence ranking. Data Structures Schema markup uses a structured format, typically JSON-LD, RDFa, or Microdata, to annotate HTML content. This structured data is parsed by Google's crawlers and stored in a way that associates specific attributes with their corresponding values. Example JSON-LD Schema Markup { "@context": "schema.org", "@type": "Article", "headline": "The Importance of Schema in SEO", "author": { "@type": "Person", "name": "John Doe" }, "datePublished": "2023-10-01", "image": "example.com/image.jpg" } Algorithm While schema markup itself is not a direct ranking factor, it plays a role in enhancing search result presentation. The following pseudocode outlines how schema might be processed in the context of search results: def process_schema_markup(webpage): structured_data = extract_structured_data(webpage) if structured_data: enhance_search_snippet(webpage, structured_data) return webpage def extract_structured_data(webpage): # Parse the HTML for JSON-LD, RDFa, or Microdata return parse_schema(webpage.html_content) def enhance_search_snippet(webpage, structured_data): # Use structured data to create a rich snippet webpage.snippet = create_rich_snippet(structured_data) Signals & Features Structured Data: Information extracted from schema markup, such as author, publication date, and type of content. User Interaction Metrics: Click-through rates and engagement metrics that may be influenced by enhanced search result snippets. Content Relevance: Improved understanding of content context and relevance through structured data. Implementation Considerations Scalability: Google's systems must efficiently parse and process structured data at scale across billions of webpages. Standardization: Adherence to schema.org standards ensures compatibility and consistency in data interpretation. Rich Snippets: While schema markup can enhance snippets, it does not guarantee them. Google's algorithms determine when to display rich snippets based on relevance and quality. Related Patents US6285999B1: While this patent focuses on PageRank and link-based ranking, it does not address schema markup directly. It establishes the importance of link authority in ranking, which remains a separate consideration from structured data. In conclusion, while schema markup is not a direct ranking factor as per the foundational PageRank patent, it plays a significant role in enhancing search result presentation and potentially influencing user behavior, which can indirectly affect rankings.

It was an honour to be asked to deliver a brief history of the 18th of Foot Royal Irish Regiment &South Irish Horse at the National Museum of Ireland today in a rain soaked Dublin! The day was hosted by the RDFA.

My GG grandfather fought with the RDFA 1914- discharge in 1920, died as a result of gas in 1930, buried in Blackrock co Dublin, I am the custodian of his medals. Respect to all those WARRIORS, yesterday, today & tomorrow, NEVER FORGET.

TIL about the `about` attribute, of which I don't think there's any direct mention on the MDN web docs. Seems to be from HTML RDFa 1.1, another thing I've never heard of. May not need to be at the top of the suggestions list, either 😅 w3.org/TR/html-rdfa/

9/3 朝活2h 5h [day125] ‐卒業制作 footer PC, 共通パーツ(下層MV, パンくずリスト), headタグ構造化マークアップ, DLページ HTML大枠 ☑下層ページMVの背景画像はWPでの出し分けを考えimgタグにしてみた ☑背景レイヤーは疑似要素 ClipPath ☑imgタグにmin-widthとclampをあてて画面幅に応じて中央から背景が広がる仕様 ☑構造化データには3種類の書き方JSON-LD, microdata, RDFaがある→JSON-LDでやってみる △htmlにあてたスタイルが適用されない→継承がうまくいっていない？ △構造化データの記述が白字になる→チェッカーで”エラーなし”になっているからOK？ ――――――――――――――――――――――――― コミュニティのウェビナーで学んだ構造化マークアップを卒制で取り入れてみます💪 他にもいろいろ調べたいこと、試してみたいことがありすぎる～ なんでも自由に調べてトライできる今が楽しすぎる一方、営業活動もはやくしたくてそっちも考えたくて無駄にあわあわしてます🫠 ＃デイトラ ＃Web制作 #デイトラコミュニティ

構造化マークアップは3種類の実装方法がある。microdata、JSON-LD、RDFaがある。いずれも検索エンジンに意味を伝えるための構造化データの記述方法だがGoogle公式ドキュメントではJSON-LDの使用を推奨。microdataやRDFaはすでに実装済みのサイト以外ではメリットが少なく、管理が面倒