Class: InformationContentMethod

Describes how information content (IC) scores were computed. IC scores are only comparable if they were computed using the same method. If absent, IC scores are assumed to be log2 bits computed by OAK using the ontology as the corpus.

URI: sim:InformationContentMethod

classDiagram class InformationContentMethod click InformationContentMethod href "../InformationContentMethod" InformationContentMethod : background_count InformationContentMethod : closure_predicates InformationContentMethod : corpus InformationContentMethod --> "0..1" InformationContentCorpusEnum : corpus click InformationContentCorpusEnum href "../InformationContentCorpusEnum" InformationContentMethod : scale InformationContentMethod --> "1" InformationContentScaleEnum : scale click InformationContentScaleEnum href "../InformationContentScaleEnum" InformationContentMethod : source

Slots

Name	Cardinality and Range	Description	Inheritance
scale	1 InformationContentScaleEnum	The scale or units of the IC scores	direct
corpus	0..1 InformationContentCorpusEnum	The corpus used to determine term frequencies	direct
closure_predicates	* Uriorcurie	The predicates used to compute the reflexive transitive closure when determin…	direct
background_count	0..1 ItemCount	The number of items (terms or annotated entities) in the background set, i	direct
source	0..1 String	The system or resource that computed the scores, e	direct

Usages

used by	used in	type	used
TermPairwiseSimilarity	information_content_method	range	InformationContentMethod

Identifier and Mapping Information

Schema Source

• from schema: https://w3id.org/oak/similarity

Mappings

Mapping Type	Mapped Value
self	sim:InformationContentMethod
native	sim:InformationContentMethod

LinkML Source

Direct

```yaml name: InformationContentMethod description: Describes how information content (IC) scores were computed. IC scores are only comparable if they were computed using the same method. If absent, IC scores are assumed to be log2 bits computed by OAK using the ontology as the corpus. from_schema: https://w3id.org/oak/similarity attributes: scale: name: scale description: The scale or units of the IC scores from_schema: https://w3id.org/oak/similarity rank: 1000 domain_of: - InformationContentMethod range: InformationContentScaleEnum required: true corpus: name: corpus description: The corpus used to determine term frequencies from_schema: https://w3id.org/oak/similarity rank: 1000 domain_of: - InformationContentMethod range: InformationContentCorpusEnum closure_predicates: name: closure_predicates description: The predicates used to compute the reflexive transitive closure when determining term frequencies. If empty, all predicates are used. from_schema: https://w3id.org/oak/similarity rank: 1000 domain_of: - InformationContentMethod range: uriorcurie multivalued: true background_count: name: background_count description: The number of items (terms or annotated entities) in the background set, i.e. N in Pr(t) = freq(t)/N from_schema: https://w3id.org/oak/similarity rank: 1000 domain_of: - InformationContentMethod range: ItemCount source: name: source description: The system or resource that computed the scores, e.g. oaklib, ubergraph examples: - value: ubergraph from_schema: https://w3id.org/oak/similarity rank: 1000 domain_of: - InformationContentMethod

</details>

### Induced

<details>
```yaml
name: InformationContentMethod
description: Describes how information content (IC) scores were computed. IC scores
  are only comparable if they were computed using the same method. If absent, IC scores
  are assumed to be log2 bits computed by OAK using the ontology as the corpus.
from_schema: https://w3id.org/oak/similarity
attributes:
  scale:
    name: scale
    description: The scale or units of the IC scores
    from_schema: https://w3id.org/oak/similarity
    rank: 1000
    alias: scale
    owner: InformationContentMethod
    domain_of:
    - InformationContentMethod
    range: InformationContentScaleEnum
    required: true
  corpus:
    name: corpus
    description: The corpus used to determine term frequencies
    from_schema: https://w3id.org/oak/similarity
    rank: 1000
    alias: corpus
    owner: InformationContentMethod
    domain_of:
    - InformationContentMethod
    range: InformationContentCorpusEnum
  closure_predicates:
    name: closure_predicates
    description: The predicates used to compute the reflexive transitive closure when
      determining term frequencies. If empty, all predicates are used.
    from_schema: https://w3id.org/oak/similarity
    rank: 1000
    alias: closure_predicates
    owner: InformationContentMethod
    domain_of:
    - InformationContentMethod
    range: uriorcurie
    multivalued: true
  background_count:
    name: background_count
    description: The number of items (terms or annotated entities) in the background
      set, i.e. N in Pr(t) = freq(t)/N
    from_schema: https://w3id.org/oak/similarity
    rank: 1000
    alias: background_count
    owner: InformationContentMethod
    domain_of:
    - InformationContentMethod
    range: ItemCount
  source:
    name: source
    description: The system or resource that computed the scores, e.g. oaklib, ubergraph
    examples:
    - value: ubergraph
    from_schema: https://w3id.org/oak/similarity
    rank: 1000
    alias: source
    owner: InformationContentMethod
    domain_of:
    - InformationContentMethod
    range: string