ResearchScienceSearchScholarlyArticle

AI Overview😉

  • The potential purpose of this module is to extract and analyze metadata from scholarly articles, such as citations, figures, tables, and text from PDF files. This allows Google to better understand the content and relevance of academic papers, which can improve search results for users searching for specific topics or research.
  • This module could impact search results by allowing Google to:
    • Return more accurate and relevant results for academic searches
    • Provide users with a more detailed understanding of the content and relevance of scholarly articles
    • Enable features such as citation analysis, author profiling, and research topic clustering
  • To be more favorable for this function, a website could:
    • Provide clear and structured metadata for scholarly articles, such as citations, authors, and abstracts
    • Make PDF files easily accessible and downloadable
    • Use standardized formatting and markup for figures, tables, and other content
    • Ensure that landing pages for scholarly articles are accurately indexed and crawled by Google

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

Data and associated metadata for a scholarly pdf article.

Attributes

  • citation (type: GoogleApi.ContentWarehouse.V1.Model.ScienceCitation.t, default: nil) - Proto containing all of the Scholar Metadata for this article.
  • figureOrTableImage (type: String.t, default: nil) - contains the image of the figure or table cropped out of the pdf page encoded as a PNG.
  • figureOrTableOcrText (type: String.t, default: nil) - Contains the text (as detected by OCR) contained inside the image of the figure or table.
  • landingPageUrl (type: String.t, default: nil) - The url of the landing page for the scholarly article.
  • pageNumber (type: integer(), default: nil) - The page number where the table and figure is located in the original pdf document.
  • pdfDownloadUrl (type: String.t, default: nil) - The url where the pdf file is located for the scholarly article.

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.ResearchScienceSearchScholarlyArticle{
    citation: GoogleApi.ContentWarehouse.V1.Model.ScienceCitation.t() | nil,
    figureOrTableImage: String.t() | nil,
    figureOrTableOcrText: String.t() | nil,
    landingPageUrl: String.t() | nil,
    pageNumber: integer() | nil,
    pdfDownloadUrl: String.t() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.