Semantic Tagging of Educational Organizations: A Modification of Web Communicating Practices from a Technological Perspective

María Auxilio; Jorge de la Calleja Mora; Delia Arrieta Díaz

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Semantic Tagging of Educational Organizations: A Modification of Web Communicating Practices from a Technological Perspective

María Auxilio Medina ^[1] ; Jorge de La Calleja Mora ^[1] ; Delia Arrieta Díaz ^[2]
1. [1] Universidad Politécnica de Puebla
  
  Universidad Politécnica de Puebla
  
  México
2. [2] Universidad Juárez del Estado de Durango
  
  Universidad Juárez del Estado de Durango
  
  México
Localización: Diálogos para la investigación en comunicación, educación y tecnologías / coord. por Alfredo Barrales Martínez, Francisco Jesús Ortiz Alvarado; Raquel Espinosa Castañeda (aut.), 2021, ISBN 978-607-99505-1-4, págs. 187-191
Idioma: inglés
Enlaces
- Texto completo (pdf)
Resumen
- Search engines use the descriptive data or metadata of web pages for indexing and retrieval. This document adopts a semantic tagging process —originally proposed for learning resources— to describe educational organizations. T he purpose is to notice that the generation of structured data requires selecting optional properties, mandatory or recommended, depending on the level of detail of public information. A test set of ten JSON-LD scripts that inherited properties from Schema.org is the proof of concept of implementing that process. These scripts are available for web developers who decide to enrich their websites as a communicating practice in virtual environments. T he Schema organization (Schema, 2020) proposes a set of types and properties to describe structured data on the internet. Figure 19.1 shows an excerpt of the Schema main page that lists the properties for educational organizations. On one hand, an educational organization is a type of place or more precisely, a place that has a civic structure. On the other hand, this is also a specific type of organization. Schema proposes more than one hundred properties for educational organizations, some examples are alumni, name, address, slogan or logo. Thus, web developers or information designers need to analyze the properties that best suit the information needs of users.