Skip to content

similarity_measure

URI: sssom:similarity_measure

Applicable to: Mapping

Description

The measure used for computing a similarity score. This field is meant to be used in conjunction with the similarity_score field, to document, for example, the lexical or semantic match of a matching algorithm. To make processing this field as unambiguous as possible, we recommend using wikidata CURIEs, but the type of this field is deliberately unspecified.

Properties

  • Range: String. The range of the element is the type of the value that can be assigned to it.

  • Required?: Optional (You can add this element to the mapping or mapping set, but it is not required.)

Examples

Example: https://www.wikidata.org/entity/Q865360

Example value:

https://www.wikidata.org/entity/Q865360

Description: the Wikidata IRI for the Jaccard index measure).

Example: wikidata:Q865360

Example value:

wikidata:Q865360

Description: the Wikidata CURIE for the Jaccard index measure).

Example: Levenshtein distance

Example value:

Levenshtein distance

Description: a score to measure the distance between two character sequences).

See Also

These are some relevant resources you might find useful to get additional information about the element, such as example implementations, issues and pull requests.

Schema developer documentation

LinkML source 
name: similarity_measure
description: The measure used for computing a similarity score. This field is meant
  to be used in conjunction with the similarity_score field, to document, for example,
  the lexical or semantic match of a matching algorithm. To make processing this field
  as unambiguous as possible, we recommend using wikidata CURIEs, but the type of
  this field is deliberately unspecified.
examples:
- value: https://www.wikidata.org/entity/Q865360
  description: the Wikidata IRI for the Jaccard index measure).
- value: wikidata:Q865360
  description: the Wikidata CURIE for the Jaccard index measure).
- value: Levenshtein distance
  description: a score to measure the distance between two character sequences).
from_schema: https://w3id.org/sssom/schema/
see_also:
- https://github.com/mapping-commons/sssom/issues/385
- https://github.com/mapping-commons/sssom/pull/386
- https://github.com/mapping-commons/sssom/blob/master/examples/schema/similarity_score.sssom.tsv
rank: 1000
alias: similarity_measure
domain_of:
- mapping
range: string