Research any topic before you write.

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

BeerXML

BeerXML is a free, fully defined XML data description standard designed for the exchange of beer brewing recipes and other brewing data. Tables of recipes as well as other records such as hop schedules and malt bills can be represented using BeerXML for use by brewing software.

Applications, Measurement & Standards

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 BeerXML. 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.

Supported fields

25 related topics

Overview

21 related topics

Units

9 related topics

Common applications and examples of usage

4 related topics

Key facts & relationships

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

Contained by
XML
Extended from
SGML
Internet media type
application/xml text/xml
Open format?
Yes
Standard
1.0
Type of format
Markup language

Topics to explore

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

Overview

Common applications and examples of usage

Supported fields

Limitations

XML header

  • Tag Tag (metadata)

Tag names

Version

Data formats

Units

Optional tags

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

BeerXML

Nodes90
Edges89
Triples54
Avg. degree1.98
Density0.022222
Components1

How this topic connects Entity context

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

BeerXML

Top relations

has application · 17
BeerXML → BCOE, Beersmith, Beersmith Recipe Cloud, BMS, Brewblogger, Breweries, Brewers, Brewersfriend, Brewtarget, Brewtoad, Entry, Management, ORRTIZ, The, The Brew Competition Online, Users, XML
related to Limitations · 9
BeerXML → All, As, Celsius, For, Imperial, SI, This, US Customary, While
related to External links · 4
BeerXML → BeerXML HomepageBeerXML, FiveBlades, SpecificationA PHP BeerXML, Wordpress
is a · 3
BeerXML → free, markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable.BeerXML is supported by a number of web sites, open standard and as a subset of Extensible Markup Language
related to Development · 2
BeerXML → It, The BeerXML
related to Supported fields · 2
BeerXML → Recipes, The
Contained by · 1
BeerXML → XML
Extended from · 1
BeerXML → SGML
Filename extension · 1
BeerXML → .mw-parser-output .monospaced{font-family:monospace,monospace} .xml
Internet media type · 1
BeerXML → application/xml text/xml

Important terminology Word statistics

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

Important terminology

xml standard brewing tag data recipes hops tags example set version units values may supported fields markup language hop fermentation

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
BeerXMLContained byXML1.00infobox
BeerXMLExtended fromSGML1.00infobox
BeerXMLFilename extension.mw-parser-output .monospaced{font-family:monospace,monospace} .xml1.00infobox
BeerXMLInternet media typeapplication/xml text/xml1.00infobox
BeerXMLOpen format?Yes1.00infobox
BeerXMLStandard1.01.00infobox
BeerXMLType of formatMarkup language1.00infobox
BeerXMLUniform Type Identifier (UTI)public.xml1.00infobox
BeerXMLUTI conformationpublic.text1.00infobox
BeerXMLis afree0.90text
BeerXMLis aopen standard and as a subset of Extensible Markup Language0.90text
BeerXMLis amarkup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable.BeerXML is supported by a number of web sites0.90text

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.