Skill

JSON-LD schema defining the Beamery skill model structure

The skill model uses JSON-LD (JSON for Linked Data) to provide a semantically rich representation of skills, their relationships, and properties.

Overview

The Beamery skill model is designed to capture comprehensive information about skills, including their relationships, proficiency levels, and contextual usage within organizations. This model supports both human-readable and machine-processable skill data.

Core Schema

The skill model is based on the following JSON-LD structure with SKOS vocabulary:

{
  "graph": [
    {
      "uri": "https://data.beamery.com/beamery/bkg-v3/skills#this",
      "type": "skos:ConceptScheme"
    },
    {
      "uri": "https://data.beamery.com/beamery/bkg-v3/skills/98809#this",
      "type": "skos:Concept",
      "dct:identifier": "98809",
      "altLabel": [
        {
          "lang": "en",
          "value": "JSON"
        },
        {
          "lang": "en",
          "value": "Json API"
        },
        {
          "lang": "en",
          "value": "Json Programming"
        },
        {
          "lang": "de",
          "value": "JSON-Programmiersprache"
        },
        {
          "lang": "es",
          "value": "Lenguaje de programacion JSON"
        }
      ],
      "broader": {
        "uri": "https://data.beamery.com/beamery/bkg-v3/skills/130793#this"
      },
      "skos:definition": {
        "lang": "en",
        "value": "JavaScript Object Notation (JSON) is a skill related to data interchange formats, used primarily for transmitting data between a server and a web application. It involves structuring data in an easily readable and lightweight format. Its distinctive feature is its simplicity and a text-based structure, which makes JSON easy to write and understand for humans, while also being simple for machines to parse and generate."
      },
      "inScheme": {
        "uri": "https://data.beamery.com/beamery/bkg-v3/skills#this"
      },
      "narrower": {
        "uri": "https://data.beamery.com/beamery/bkg-v3/skills/200825#this"
      },
      "prefLabel": [
        {
          "lang": "fr",
          "value": "Notation d'objet JavaScript"
        },
        {
          "lang": "en",
          "value": "JavaScript Object Notation"
        },
        {
          "lang": "es",
          "value": "Notación de Objetos de JavaScript (JSON)"
        }
      ],
      "related": [
        {
          "uri": "https://data.beamery.com/beamery/bkg-v3/skills/100924#this"
        },
        {
          "uri": "https://data.beamery.com/beamery/bkg-v3/skills/101127#this"
        }
      ],
      "relatedMatch": {
        "uri": "https://data.beamery.com/beamery/bkg-v3/industries/1090#this"
      },
      "https://data.beamery.com/beamery/model/ontologies/talent#isFeatureOf": [
        {
          "uri": "https://data.beamery.com/beamery/bkg-v3/skills/100924#this"
        },
        {
          "uri": "https://data.beamery.com/beamery/bkg-v3/skills/101127#this"
        }
      ]
    },
    {
      "uri": "https://data.beamery.com/beamery/bkg-v3/skills/100924#this",
      "type": "skos:Concept",
      "prefLabel": [
        {
          "lang": "es",
          "value": "Estructura de datos"
        },
        {
          "lang": "de",
          "value": "Datenstruktur"
        },
        {
          "lang": "en",
          "value": "Data Structures"
        },
        {
          "lang": "fr",
          "value": "Structure de donnees"
        }
      ],
      "related": {
        "uri": "https://data.beamery.com/beamery/bkg-v3/skills/98809#this"
      },
      "https://data.beamery.com/beamery/model/ontologies/talent#hasFeature": {
        "uri": "https://data.beamery.com/beamery/bkg-v3/skills/98809#this"
      }
    },
    {
      "uri": "https://data.beamery.com/beamery/bkg-v3/skills/101127#this",
      "type": "skos:Concept",
      "prefLabel": [
        {
          "lang": "en",
          "value": "Data Management"
        },
        {
          "lang": "de",
          "value": "Datenmanagement"
        },
        {
          "lang": "fr",
          "value": "Gestion de données"
        },
        {
          "lang": "es",
          "value": "gestión de datos"
        }
      ],
      "related": {
        "uri": "https://data.beamery.com/beamery/bkg-v3/skills/98809#this"
      },
      "https://data.beamery.com/beamery/model/ontologies/talent#hasFeature": {
        "uri": "https://data.beamery.com/beamery/bkg-v3/skills/98809#this"
      }
    },
    {
      "uri": "https://data.beamery.com/beamery/bkg-v3/skills/130793#this",
      "type": "skos:Concept",
      "narrower": {
        "uri": "https://data.beamery.com/beamery/bkg-v3/skills/98809#this"
      },
      "prefLabel": [
        {
          "lang": "en",
          "value": "Programming Language"
        },
        {
          "lang": "de",
          "value": "Programmiersprache"
        },
        {
          "lang": "es",
          "value": "Lenguaje de programación"
        },
        {
          "lang": "fr",
          "value": "Langage de programmation"
        }
      ]
    },
    {
      "uri": "https://data.beamery.com/beamery/bkg-v3/skills/200825#this",
      "type": "skos:Concept",
      "broader": {
        "uri": "https://data.beamery.com/beamery/bkg-v3/skills/98809#this"
      },
      "prefLabel": [
        {
          "lang": "fr",
          "value": "traitement JSON"
        },
        {
          "lang": "de",
          "value": "JSON Verarbeitung"
        },
        {
          "lang": "es",
          "value": "Procesamiento de JSON"
        },
        {
          "lang": "en",
          "value": "JSON Processing"
        }
      ]
    },
    {
      "uri": "https://data.beamery.com/beamery/bkg-v3/skills/types/3#this",
      "type": "skos:Collection",
      "skos:member": {
        "uri": "https://data.beamery.com/beamery/bkg-v3/skills/98809#this"
      },
      "prefLabel": {
        "lang": "en",
        "value": "Software Tool"
      }
    }
  ]
}

Property Definitions

Context Properties

Name
graph
Type
array
Description
Contains the collection of linked data entities (concept scheme and individual skill concepts)

Concept Scheme Properties

Name
uri
Type
string
Description
Unique identifier for the skill concept scheme
Name
type
Type
string
Description
Always "skos:ConceptScheme" for the scheme container

Skill Concept Properties

Name
uri
Type
string
Description
Unique identifier for the skill concept
Name
type
Type
string
Description
Always "skos:Concept" for individual skill concepts
Name
dct:identifier
Type
string
Description
Dublin Core identifier for the skill
Name
prefLabel
Type
object
Description
Preferred label for the skill with language tag
Name
altLabel
Type
array<object>
Description
Alternative labels and synonyms for the skill
Name
skos:definition
Type
object
Description
Detailed definition of the skill with language tag
Name
inScheme
Type
object
Description
Reference to the parent concept scheme
Name
schema:category
Type
string
Description
Primary category classification (e.g., "Technical", "Soft", "Business")
Name
subCategory
Type
string
Description
More specific subcategory (e.g., "Programming Languages", "Communication")
Name
version
Type
string
Description
Schema version for tracking changes

Proficiency Levels

Name
proficiencyLevels
Type
array<object>
Description
Array of proficiency level definitions
Name
level
Type
number
Description
Numeric level (1-4 scale)
Name
label
Type
string
Description
Human-readable label for the proficiency level
Name
description
Type
string
Description
Detailed description of competencies at this level

Related Skills

Name
relatedSkills
Type
array<object>
Description
Array of related skill references
Name
uri
Type
string
Description
Reference to related skill URI
Name
relationship
Type
string
Description
Type of relationship (broader, narrower, enables, requires)
Name
strength
Type
number
Description
Relationship strength (0.0-1.0)

Industry Context

Name
industryContext
Type
array<object>
Description
Array of industry-specific context information
Name
industry
Type
string
Description
Industry name or classification
Name
demandLevel
Type
string
Description
Market demand level (very-low, low, moderate, high, very-high)
Name
growthTrend
Type
string
Description
Growth trend (decreasing, stable, increasing)
Name
averageCompensation
Type
object
Description
Average compensation information

Associated Tasks

Name
associatedTasks
Type
array<object>
Description
Array of task associations
Name
uri
Type
string
Description
Reference to task URI
Name
relevance
Type
number
Description
Relevance score (0.0-1.0)
Name
frequency
Type
string
Description
Usage frequency (daily, weekly, monthly, occasionally)

Metadata Properties

Name
dc:created
Type
string
Description
Creation timestamp in ISO 8601 format
Name
dc:modified
Type
string
Description
Last modification timestamp in ISO 8601 format

Language-Tagged Values

Name
lang
Type
string
Description
ISO 639-1 language code (en, es, fr, de, etc.)
Name
value
Type
string
Description
The actual text value in the specified language

Skill Types

The model supports various skill type classifications:

Skill Type Definitions

Behavioural: A skill relevant to a broad range of occupations and sectors. They are generic, non-domain specific, and non-technical.
Natural Language: A skill to speak, write or listen to natural languages
Software Tool: A skill which represents an ability to use a programming language, framework, library, module to develop, maintain, repair, enhance or build other software tools or a product(s).
Product: Skills related to specific products or product management
Topic: Skills related to specific subject matter or domain knowledge

Type Examples

Behavioural: Leadership, communication, problem-solving, teamwork, critical thinking
Natural Language: English, Spanish, French, Mandarin, Arabic
Software Tool: Python, JavaScript, React, Docker, Kubernetes, Git
Product: Salesforce, Microsoft Office, Adobe Creative Suite, Jira
Topic: Machine learning, data science, cybersecurity, project management, finance

Proficiency Levels

The model defines a 4-level proficiency scale:

Level 1: Beginner

Basic understanding and limited practical experience
Can perform simple tasks with guidance
Familiar with fundamental concepts

Level 2: Intermediate

Solid understanding with practical experience
Can work independently on routine tasks
Comfortable with common patterns and practices

Level 3: Advanced

Deep expertise with extensive experience
Can handle complex challenges and mentor others
Designs solutions and optimizes performance

Level 4: Expert

Recognized authority in the field
Contributes to community and standards
Architects enterprise-level solutions

Relationship Types

The model supports various skill relationship types:

Hierarchical Relationships

broader: More general skill category
narrower: More specific skill specialization

Dependency Relationships

enables: Skills that enable other capabilities
requires: Skills that are prerequisites

Complementary Relationships

enhances: Skills that complement each other
substitutes: Skills that can replace each other

Industry Context

Skills are contextualized within industry settings:

Market Intelligence

Demand Level: Current market demand assessment
Growth Trend: Future market direction
Compensation: Average salary information

Industry Variations

Skills may have different values across industries
Demand levels vary by geographic region
Growth trends influenced by technology adoption