Coerce semantic mappings to canonical key-value form

Convert semantic mapping carriers into a canonical named character vector representation.

Convert semantic mappings into a two-column relational form suitable for joins, inspection, and roundtrip conversion with as_value_key().

Usage

as_value_key(x)

invert_value_key(x)

Arguments

x

A semantic mapping carrier:

• named character vector;

• named list;

• two-column data frame or tibble.

Value

A named character vector representing canonical semantic key-value mappings.

Details

as_value_key() standardises lightweight semantic mappings supplied as:

• named vectors;

• named lists;

• two-column data frames or tibbles.

The resulting object is suitable for:

• prelabel();

• semantic grouping;

• contextual reconstruction;

• relational projection workflows.

Named lists may contain one-to-many mappings:

list(
  conceptualisation = c(
    "D:/_package/alpha",
    "D:/_markdown/alpha-methodology"
  ),
  betaR = c(
    "D:/_packages/beta",
    "D:/_packages/prebeta"
  )
)

where multiple values share the same semantic key.

The function is intentionally lightweight. It does not:

• validate ontologies;

• enforce uniqueness;

• resolve semantic conflicts;

• construct graph objects;

• perform recursive inheritance logic.

Examples

# named vector
as_value_key(
  c(
    R = "functional_programming",
    png = "visualisation"
  )
)
#>                        R                      png 
#> "functional_programming"          "visualisation" 

# named list
as_value_key(
  list(
    R = "functional_programming",
    png = "visualisation"
  )
)
#>                        R                      png 
#> "functional_programming"          "visualisation" 

# tibble
mapping_tbl <- tibble::tibble(
  extension = c("R", "png"),
  activity = c(
    "functional_programming",
    "visualisation"
  )
)

as_value_key(mapping_tbl)
#>                        R                      png 
#> "functional_programming"          "visualisation"