RepositoryWebrefTripleMention

AI Overview😉

  • The potential purpose of this module is to identify and analyze triple mentions in a document, which are essentially subject-predicate-object relationships extracted from the text. This module seems to be focused on understanding the context and scope of these triple mentions, including the byte offset of the document where they appear, and any additional signals or data associated with them.
  • This module could impact search results by influencing how relevant a document is considered to be for a particular query. By analyzing the triple mentions in a document, Google may be able to better understand the relationships between entities and concepts, and therefore rank documents that provide more comprehensive and accurate information higher in the search results. This could also help to identify and filter out low-quality or misleading content.
  • A website may change things to be more favorable for this function by ensuring that their content is well-structured and provides clear relationships between entities and concepts. This could involve using schema markup to explicitly define triple mentions, as well as using clear and concise language to describe relationships between entities. Additionally, websites may want to focus on providing comprehensive and accurate information, and avoid using misleading or sensational language that could be misinterpreted by the algorithm.

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GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefTripleMention (google_api_content_warehouse v0.4.0)

Attributes

  • predMention (type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefSegmentMention.t, default: nil) - Document mention of the predicate
  • scopeBegin (type: integer(), default: nil) - The [begin, end) byte offset of the document scope where this triple was annotated. This corresponds to a table row or a text sentence where the triple was identified. The sub_mention can be outside the scope when the subject is inferred from the table title.
  • scopeEnd (type: integer(), default: nil) -
  • scopeFprint (type: String.t, default: nil) - Fingerprint2011 of space-joined SAFT tokens in the scope.
  • stuff (type: GoogleApi.ContentWarehouse.V1.Model.Proto2BridgeMessageSet.t, default: nil) - Generic container to hold additional data such as triple scoped signals. Data that can be stored in this field and their TypeIds: repository_webref::universal::webit::ScopeSignals (TypeId 192754198), defined in repository/webref/universal/processors/understanding/webit.proto
  • subMention (type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefSegmentMention.t, default: nil) - Document mention of the subject
  • valueMention (type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefSegmentMention.t, default: nil) - Document mention of the value

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() :: %GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefTripleMention{
  predMention:
    GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefSegmentMention.t() | nil,
  scopeBegin: integer() | nil,
  scopeEnd: integer() | nil,
  scopeFprint: String.t() | nil,
  stuff: GoogleApi.ContentWarehouse.V1.Model.Proto2BridgeMessageSet.t() | nil,
  subMention:
    GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefSegmentMention.t() | nil,
  valueMention:
    GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefSegmentMention.t() | nil
}

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.