SCHEMANTRA




Generate more than 1,400 schema.org types to your website. Link all your Schema markups for the best possible search engine optimization (SEO) results



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Build Knowledge Graphs



SCHEMANTRA allows you to accurately describe the entities on a page and their relationships with the primary entity, which is crucial for optimizing your website for semantic and entity-based search engine optimization (SEO)

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Schema Knowledge Graph Visualization

Schema Markup Crash Course (with Hands-On Example)


Learning Outcome:


  • Schema.org fundamentals
  • How to create simple and complex schemas markups
  • How to markup a Car Dealership website
  • Semantic SEO Fundamentals: How to describe the relationships between your entities by linking schemas and building knowledge graphs
  • how to deploy schema markups using Google Tag Manager


Generate Schemas

Ontology Driven Schema Generator in JSON-LD

We specialize in developing custom ontology systems that cater your specific industry needs

Our schema markup and ontology generator tool is specifically designed to create an ontology for SEO optimization using schema.org JSON-LD metadata. The integrated ontology that results from this process not only helps search engines in finding and ranking your pages, but also helps them to comprehend, display, and interpret your data in a more effective manner

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schema.org markup generator and ontology constructor for all industries
Industry Markups Generator in JSON-LD
Structured Data for Organizations Organization, Address, AggregateRating, Person, Event, OfferCatalog, OpenningHoursSpecification, JobPosting
Structured Data for Local Business Store, Dentist, EmploymentAgency, FinancialService, Service, OfferCatalog, Product, HealthAndBeautyBusiness, HomeAndConstructionBusiness, LegalService, Library, RealEstateAgent, ShoppingCenter, SelfStorage
Structured Data for Healthcare MedicalClinic, HealthInsurancePlan, MedicalSpecialty, MedicalWebPage, Hospital, MedicalOrganization, PrimaryCare, MedicalTest, MedicalProcedure
Structured Data for Real Estates RealEstateListing, RealEstateAgent, MortgageLoan, House, Accommodation, Apartment, Suite, RentAction, Place, PostalAddress, RentAction, Store, ApartmentComplex, SingleFamilyResidence, FloorPlan
Structured Data for e-Commerce Product, OnlineBusiness, PaymentMethod, ParcelService, OfferCatalog, WarrantyScope, Review, ItemAvailability, ItemPage, Brand, Recommendation, ItemList
Structured Data for Auto Dealerships AutomotiveBusiness, Car, EngineSpecification, RentalVehicleUsage, AutoDealer
Structured Data for Aviations Airline, Flight, Airline, FlightReservation, BoardingPolicyType, ZoneBoardingPolicy, ProgramMembership, Airport, Reservation
Structured Data for Hospitality HotelRoom, Suite, CheckoutPage, Room, Rating, Reservation, LodgingBusiness, Offer, AggregateRating, BedAndBreakfast, Campground, Hostel, Motel, Resort
Structured Data for Creatives NewsArticle, CreativeWork, Article, VideoObject, ImageObject, Clip, WebPage, PodcastSeries, MovieSeries, NewsArticle, Book, Course, Recipe, HowTo
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Frequently Asked Questions

A schema markup generator is a tool that helps you create schema markup for your website. Schema markup is a type of structured data that you can add to your website's HTML code in order to improve the way your website appears in search engine results. It can provide information about your website, such as the type of content it contains, the purpose of the website, and the products or services you offer. By adding schema markup to your website, you can help search engines understand your website's content and context, which can improve the way your website ranks in search results and the way it is displayed to users
Schemantra is capable of generating the full range of approximately 1400 JSON-LD schema org types.
In addition, Schemanrea can automatically identify all the sub-types of the schema type you have selected, enabling you to describe all the entities on a page and their relationships with the primary entity. This is the key to effective semantic and entity-based SEO.

Additionally, Schemantra enables you to utilize the full set of schema properties for each schema type, resulting in a high-quality schema description that accurately reflects your entities. This ensures that your schema is complete and precise, providing the most valuable information to search engines and other users

Many other schema generators are limited in their capabilities, making it impossible to describe the relationship between your entities and difficult to create a complete and accurate schema
Sign in
In the Dashboard Page click “Create New”
Search for the schema needed
Click submit
In the Create schema properties page, fill in the properties
To save, Click Save
To Add a subschema click “Add subschema”
Select the required subschema and repeat the former steps
If you are unable to find the property you need in the "Create schema" page, you can find it in the "Add Subschema" page. This is because some properties are actually other schema types. For example, the "founder" property of an "Organization" schema is of the "Person" schema type. To add the "founder" property to an "Organization" schema, you must create a "Person" schema as a sub-schema. This allows you to accurately describe the relationships between different entities on your page.
You can add a subschema by clicking Add Subschema button or Create Knowledge Graph button in the create schema properties page

A knowledge graph is a representation of real-world entities and their relationships to one another. Here are some steps you can follow to build your own knowledge graph:

  • Identify the scope of your knowledge graph. What are the entities you want to include in your graph? What kind of relationships do you want to represent?
  • Gather data about the entities and relationships you want to include in your graph. This data comes from your website and the entities on it
  • Model the data as a graph. Decide on the schema for your graph, including the types of nodes and edges, and the attributes that each node and edge will have
  • Populate the graph with the data you have collected using Schemantra

An ontology constructor is a tool or system that is used to build ontologies, which are formal representations of a set of concepts within a domain, and the relationships between those concepts. Ontologies are often used in the field of artificial intelligence and knowledge representation, as they provide a way to define and organize domain knowledge in a machine-readable form

Some common features of Schemantra ontology constructor includes:

  • A graphical user interface for creating entities
  • Support for ontology in JSON-LD format
  • schema generator for defining types, properties, and their relationships

Schemantra is useful for building and maintaining large, complex ontologies, as they provide a way to organize and visualize the relationships between concepts in an intuitive way

I have put together this schema markup crash course, using an automotive example, to guide you through the fundamentals of JSON-LD structured data and schema.org markups. The course will take you step-by-step from the basics to creating knowledge graphs for semantic SEO. By the end of the course, you will have a solid understanding of how to use schema markup to improve the search visibility and relevance of your content. making it an ideal resource for anyone looking to learn about schema markup and how it can improve their website's search engine visibility