Assessing Knowledge Organization Systems from a gender perspective: Wikipedia Taxonomy and Wikidata Ontologies

Abstract

<p><span style="color:rgb( 36 , 36 , 36 )">Develop a comprehensive framework for assessing the knowledge organization system (KOS), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender non-binary perspective.This study employs heuristic and inspection methods to assess Wikipedia's Knowledge Organization Systems, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia's taxonomy for advantages and enhancements.This study evaluates Wikipedia's taxonomy and Wikidata's ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia's categorization challenges.The assessment of Wikipedia categories (taxonomy) based on Knowledge Organization System standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall knowledge organization system to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.</span></p>