bluemsi/2nd
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Initial Commit: Reinforced Knowledge Wiki v1.0 - Pure Origin

Browse Source
This commit is contained in:
yesung
2026-04-20 14:26:57 +09:00
parent 895d66e238
commit 46fd50381e
4457 changed files with 174028 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
01_Archive/2026-04-20/Schema.org.md
+20
View File
@@ -0,0 +1,20 @@
[[Schema.org]]
📌 Brief Summary
Schema.org is a collaborative, community-driven initiative—managed by Google, Microsoft, Yahoo, and Yandex—to create a shared vocabulary of structured data markup. It provides a standardized set of microdatamarks (types, properties, and values) that allow search engines and other machines to interpret the semantic meaning of web content, facilitating the generation of rich results and knowledge graphs.
📖 Core Content
* **Semantic Web Foundation:** Schema.org is rooted in the principles of the Semantic Web (Web 3.0), aiming to move beyond simple keyword matching toward machine-understandable data. By applying a standardized vocabulary to HTML, developers enable "Linked Data," where entities (e.g., a specific person, an event, or a product) are defined by their relationships and attributes rather than just their textual representation.
* **Implementation Mechanisms:** While Schema.org defines the vocabulary, it is agnostic to the implementation format. However, in modern web development, three primary serialization formats are utilized:
* **JSON-LD (JavaScript Object Notation for Linked Data):** The industry standard and recommendation by Google. It allows for a decoupled, script-based approach that does not interfere with HTML structure.
* **Microdata:** An older method of embedding markup directly within HTML tags using `itemscope`, `itemtype`, and `itemprop`.
* **RDFa (Resource Description Framework in Attributes):** A more complex extension of HTML5 used primarily in highly interconnected semantic environments.
* **Taxonomy and Hierarchy:** The schema utilizes a hierarchical type system. At the root is the `Thing` type, from which all other entities inherit properties. This hierarchy allows for granular specificity; for example, a `Person` is a subtype of `Thing`, inheriting general properties like `name` while possessing specific attributes like `jobTitle`.
* **Search Engine Optimization (SEO) and Rich Results:** The primary practical application of Schema.org is the enhancement of Search Engine Results Pages (SERPs). By providing structured data, webmasters enable "Rich Snippets" (e.g., star ratings for reviews, recipe cooking times, or FAQ dropdowns), which significantly impact Click-Through Rates (CTR) and user engagement.
* **Knowledge Graph Integration:** Beyond simple snippets, Schema.org serves as the foundational layer for Knowledge Graphs. Search engines use this structured data to populate entities in their databases, allowing them to answer complex natural language queries by understanding the relationship between disparate data points (e.g., linking an `Author` to a `Book` via a `Work` entity).
🔗 Knowledge Connections
* Related Topics: [[Semantic-Web]], [[JSON-LD]], [[Linked-Data]], [[Knowledge-Graph]], [[Microdata]]
* Projects/Contexts: [[Google-Search-Central]], [[W3C-Semantic-Web-Standards]], [[SEO-Optimization]]
* Contradictions/Notes: While Schema.org provides the vocabulary, search engines are not obligated to display rich results for all implemented types; implementation of "unsupported" or "non-documented" properties may result in no visible change in SERPs despite valid syntax.
Last updated: 2026-04-16