Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

GoodRelations

GoodRelations is a Web Ontology Language-compliant ontology for Semantic Web online data, dealing with business-related goods and services. It handles the individual relationships between a buyer, a seller and the products and services offered. In November 2012, it was integrated into the Schema.org ontology.

Products, Usage & Example

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around GoodRelations. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Usage

6 related topics

Example

2 related topics

Overview

4 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Abbreviation
schema
Base standards
URI, OWL, RDFa
Domain
Semantic Web
License
CC-BY-SA 3.0
Related standards
Microformat, RDFS, N-Triples, Turtle, JSON, JSON-LD, CSV
Year started
2001

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Usage

Example

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

GoodRelations

Nodes16
Edges15
Triples19
Avg. degree1.88
Density0.125
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

GoodRelations

Top relations

related to Usage · 8
GoodRelations → An, As, Best Buy, Bing, By, Google, Product, Yahoo
Abbreviation · 1
GoodRelations → schema
Base standards · 1
GoodRelations → URI, OWL, RDFa
Domain · 1
GoodRelations → Semantic Web
License · 1
GoodRelations → CC-BY-SA 3.0
Related standards · 1
GoodRelations → Microformat, RDFS, N-Triples, Turtle, JSON, JSON-LD, CSV
Website · 1
GoodRelations → purl.org/goodrelations/
Year started · 1
GoodRelations → 2001
is a · 1
GoodRelations → Web Ontology Language-compliant ontology for Semantic Web online data
related to Example · 1
GoodRelations → FOAF

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

ontology web semantic services schema org online data products example e-commerce search used adopted use language-compliant dealing business-related goods handles

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
GoodRelationsAbbreviationschema1.00infobox
GoodRelationsBase standardsURI, OWL, RDFa1.00infobox
GoodRelationsDomainSemantic Web1.00infobox
GoodRelationsLicenseCC-BY-SA 3.01.00infobox
GoodRelationsRelated standardsMicroformat, RDFS, N-Triples, Turtle, JSON, JSON-LD, CSV1.00infobox
GoodRelationsWebsitepurl.org/goodrelations/1.00infobox
GoodRelationsYear started20011.00infobox
GoodRelationsis aWeb Ontology Language-compliant ontology for Semantic Web online data0.90text
Best Buy.GoodRelations is additionally used in academic studies of the Semantic Webinstance ofhaving been adopted by retailers0.80text
as a core ontologyinstance ofhaving been adopted by retailers0.80text
GoodRelationsrelated to ExampleFOAF0.60section
GoodRelationsrelated to UsageBy0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.