Google rdf tool


















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All Extensions All Software. Its interoperable nature allows it to combine, i. It's a part of a broad concept of the Semantic Web , created as well by Tim Berners-Lee; here you can read more about linked data. For example, when we see a web page, meaning of the data comes to us by nature.

However, computers do not have that ability; such web page is meaningless to the computers, and there is no way for a machine to find out what the web page is about, or to distinct one web page from another in that sense.

This is the main goal of structured data markup - to give meaning to the data that computers can read and understand. One example of linked data in practice are rich snippets. You can explore rich snippets and their relations and hierarchy with isSemantic.

For schema markup to be machine-readable and understandable, it itself must have a structure, which is called a data model.

One of such models is RDF. One of its main functions is to allow information exchange from different domains and between different applications, independent of their technological environment. Its core concept is based on making statements about resources.

This is achieved with using RDF data model which describes information as a subject-predicate-object model , or so-called triples. RDF data model makes such information independent of serialization syntax so that you can use markup in any of RDF formats, it will always lead to exactly the same triples. Read more about RDF. So, RDF is not a data format, it defines a standard way of expressing and describing relationships between things from different domains, or so-called statements.

An RDF graph is a set of RDF statements data model , which always have the same structure, regardless of the format, that consist of three parts:. Predicate attribute is the middle term the linkage, or "verb" in an RDF statement which describes relationship between subject and object that always goes from subject to object. Object value is the final part of an RDF statement that can be another entity or a plain value. RDF graph is a a container that holds a group of statements. Triples allow creating linked data, which is more visible on an RDF graph visualization example below.

Since RDF is made for web, it uses globally unique URI short for Uniform Resource Identifier , actually, IRI short for International Resource Identifier , which supports international characters as a way to name and identify web resources, so that everyone can access those resources. For example, we can declare that we are using schema. Let's say we then want to describe schema. These characteristics allow us to interlink different data from different domains, regardless of their format, language or system, and to find, share, reuse, combine and form new knowledge.

More specifically, this means that triples can have a role of a subject or an object in an RDF graph, the so called embedded triples.

This is achieved by using nesting triples with annotations syntax. RDF-star embedded triples can graphically be represented as nodes that are connecting edges properties , instead of other nodes subjects and objects , and by that describing the nodes that are connected by that edge, i. Because the structured data labels each individual element of the recipe, users can search for your recipe by ingredient, calorie count, cook time, and so on.

Structured data is coded using in-page markup on the page that the information applies to. The structured data on the page describes the content of that page. Don't create blank or empty pages just to hold structured data, and don't add structured data about information that is not visible to the user, even if the information is accurate. For more technical and quality guidelines, see the Structured data general guidelines. This documentation describes which properties are required, recommended, or optional for structured data with special meaning to Google Search.

Most Search structured data uses schema. There are more attributes and objects on schema. Be sure to test your structured data using the Rich Results Test during development, and the Rich result status reports after deployment, to monitor the health of your pages, which might break after deployment due to templating or serving issues. You must include all the required properties for an object to be eligible for appearance in Google Search with enhanced display.

In general, defining more recommended features can make it more likely that your information can appear in Search results with enhanced display. However , it is more important to supply fewer but complete and accurate recommended properties rather than trying to provide every possible recommended property with less complete, badly-formed, or inaccurate data. In addition to the properties and objects documented here, Google can make general use of the sameAs property and other schema.

Some of these elements may be used to enable future Search features, if they are deemed useful. Be sure to follow the general structured data guidelines , as well as any guidelines specific to your structured data type; otherwise your structured data might be ineligible for rich result display in Google Search.

If you're new to structured data, check out schema. For a step-by-step guide on how to add structured data to a web page, check out our structured data codelab. Once you're comfortable with the basics of structured data, explore the search gallery and pick a feature to implement.

Each guide goes into detail on how to implement the structured data in a way that makes your site eligible for a rich result appearance on Google Search. Explore the search gallery. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.



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