On January 23rd, through a webinar session, the Marcalyc Inference Assistant was presented: XML JATS automatic tagging. The presentation was in charge of Eliana Guzmán Useche, from the University of the Andes, Venezuela and Daniel Francisco Flores García, from the Autonomous University of the State of Mexico, both members of the Redalyc team.

The Marcalyc Inference Assistant is a Redalyc development to streamline the XML JATS tagging process through the automatic inference of the content of a scientific article. It is available in the latest Marcalyc update: 2.0.1 and editors can now make use of this new tool for the tagging of their journal articles.

The Marcalyc Inference Assistant optimizes the XML tagging process of the articles of each journal, which translates into significant savings in human and financial resources for editorial teams, a condition that favors the comprehensive transition of journals to the digital age. in addition to encouraging an ecosystem of non-commercial, sustainable communication and the academy owned. 

Among the benefits and characteristics of the Marcalyc Inferences Assistant: XML JATS automatic tagging are:

  • The first version of the Article Content Inference Assistant is based on the guidelines of the APA citation style, although it works for other citation styles.
  • It allows to infer the complete text by only tagging the titles of the sections and subsections. The text format (italics, bold, superscript, subscript and underline) is kept as presented in the index.html file used for tagging.
  • It allows inferring quotes (internal links) to references, equations, charts, and figures, as well as external links to URL addresses.
  • The Reference Inference Assistant allows inferring the Source and Type of publication of each reference, keeping the inference of the authors and the year.

On the other hand, the advantages that the Marcalyc Inference Assistant represents for editorial teams are, among others, the following:

  1. Significantly reduces the total time for tagging.
  2. Reduces tagging errors, both in form and background.
  3. It reduces the possibility of erroneously tagging the content of the article in terms of its structure (sections and subsections).
  4. It facilitates the identification of the data in the inference of the references.
  5. It allows the editor to detect possible errors regarding the citation-reference link.
  6. Optimize the functionality of tagging products, especially in viewers.

At the presentation of the Marcalyc Inference Assistant, 100 editorial teams from countries such as Chile, Mexico, Peru, Brazil, Colombia, Venezuela, Argentina, Uruguay, Cuba, Costa Rica, Panama, Ecuador, Puerto Rico, and Spain got gathered.

The Assistant continues in development.