Uso de Wikidata y Wikipedia para la generación asistida de un vocabulario estructurado multilingüe sobre la pandemia de Covid-19

Abstract

A method for quickly and dynamically building controlled vocabularies, especially for the media, using Wikidata and Wikipedia as sources of terminological information, is proposed. The method is applied to construct a vocabulary about the Covid-19 pandemic. For this purpose, it is proposed to exploit the structure of items and properties of Wikidata and links and backlinks of Wikipedia articles. Using a process based on the definition of Wikidata relationship expansion rules, an algorithm was designed, starting from a set of initial items and then being executed in successive iterations, followed by a review of the results. In this way, the Wikidata entities relevant to the thematic coverage of the vocabulary are collected. The algorithm has been implemented in an open-source application whose results for the Covid-19 pandemic vocabulary collection have been published in a repository. The algorithm can be used to verify the results using the same or other expansion rules or applied to compile vocabularies in other thematic areas. The results in terms of the elements collected in each iteration and the validation proposal through the links and backlinks of Wikipedia articles are also analyzed. The application of SKOS to achieve an interoperable representation of vocabularies obtained by this method is proposed as future work. Resumen Se propone un método para la construcción ágil y dinámica de vocabularios controlados, especialmente para los medios de comunicación, utilizando Wikidata y Wikipedia como fuentes de información terminológica. El método se aplica a la construcción de un vocabulario sobre la pandemia de Covid-19. Para ello se propone la explotación de la estructura de items y propiedades de Wikidata y de los enlaces salientes y entradas de los artículos de Wikipedia. Mediante un proceso de definición de reglas de expansión de relaciones de Wikidata se ha diseñado un algoritmo en el que se parte de un conjunto de items iniciales y en sucesivas iteraciones y revisión de resultados se recopilan las declaraciones relevantes a la temática del vocabulario. El algoritmo se ha implementado en una aplicación cuyo código y resultados de recopilación del vocabulario sobre la pandemia de Covid-19 se ha publicado en un repositorio abierto. Esto permite utilizar el algoritmo tanto para verificar los resultados usando las mismas u otras reglas de expansión como para su aplicación a la recopilación de vocabularios de otras temáticas. En los resultados también se analizan los elementos recopilados en cada iteración, la propuesta de validación mediante los enlaces entrantes y salientes de los artículos, dejando como futuros trabajos la aplicación de SKOS para la representación interoperable de los vocabularios obtenidos mediante este método.

COVID-19 and the social organization of knowledge in Wikipedia: a study of social representations

“…The practical implications of this study refer to the dynamic character of the group sense-making seen through the collaboratively developed KOS. This may be important for those researchers and practitioners who, like Saorín et al (2020), utilize Wikipedia and Wikidata as sources for KOS development. When studying socially-developed KOS where the concept of public concerns is present, one needs to acknowledge that the conceptualization may change in time as society, which members are involved in this process, internalizes new concepts or concepts of public concern using the symbolic coping mechanism.…”

“…According to them, future KOSs will be developed in a hybrid way, including both information professionals and social contributors or software agents. Using the data from Wikidata and Wikipedia, Saorín et al (2020) proposed a method for building controlled vocabulary. They showed its application on the example of vocabulary for the COVID-19 pandemic.…”

The role of Wikipedia in the dissemination of new knowledge: Analysis of the entry «desinformación» as a changeable concept

“…The work of Tavares (2021) analysing the Wikipedia entry "COVID-19" confirms that, indeed, responding to -O4-of this research, it is natural for encyclopaedia articles to undergo editing and editorial changes because they evolve, address emerging and changing topics, and sources emerge that yield new data over time. Furthermore, Saorín et al (2020) are even trying to automate the enrichment of controlled vocabularies "that need to be responsive to new topics, which is characteristic of the media field, where current affairs are continually regenerating and new topics, entities and points of view emerge" (p. 17). As discussed in the previous section, the idea of "disinformation" fulfils these conditions.…”

Sources of Information on Covid-19 and the Fight Against Fake News

“…¿De qué hablaban los medios durante el confinamiento? Del coronavirus (Saorín, Pastor-Sánchez & Baños-Moreno, 2020). Mensajes conflictivos sobre los síntomas del COVID-19 o la eficacia de guantes y mascarillas fueron temas recurrentes en las historias de Fake News (Noticias falsas).…”