Introduction

Exploring the Taxonomy via GraphQL

The best way to understand the Jobtech Taxonomy is to explore the data via the GraphQL endpoint. Here's a collection of example queries.

All Taxonomy Environments

• v1 Production
• v1 Test T2
• v1 Test T1
• v1 Integration Test I1
• v1 U1

graph BT
ON-->|substitutability|ON
ON(occupation-name) -->|broader| S4(ssyk-level-4)
S4 -->|broader| S3(ssyk-level-3)
S3 -->|broader| S2(ssyk-level-2)
S2 -->|broader| S1(ssyk-level-1)
S4-->|broader|OF(occupation-field)
OC(occupation-collection)-->|related|ON
I4(isco-level-4)-->|related|S4
K(keyword)-->|related|ON
S(skill)-->|related|I4
S-->|broader|SH(skill-headline)

M(municipality)-->|broader|REGION
COUNTRY(country)-->|broader|CONTINENT(continent)
REGION(region)-->|broader|COUNTRY
	

SNI2(sni-level-2)-->|broader|SNI1(sni-level-1)


SF4(sun-education-field-4)-->|broader|SF3(sun-education-field-3)
SF3-->|broader|SF2(sun-education-field-2)-->|broader|SF1(sun-education-field-1)

SL3(sun-education-level-3)-->|broader|SL2(sun-education-level-2)-->|broader|SL1(sun-education-level-1)

D(driving-license)-->D

ED(employment-duration)

ET(employment-type)

UF(unemployment-fund)

WT(wage-type)

L(language)
LL(language-level)

WTE(worktime-extent)