The model of collaborative terminology contribution to the art & architecture thesaurus: application and improvement of crowdsourcing methods in an educational context

Scientific paper - Original scientific paper

• Author: Goran Zlodi; MBZ: 238271
• Author: Tomislav Ivanjko; MBZ: 314670
• Author: Petra Steficar
• Author: Marta Marochini
• Author's institution: University of Zagreb; Faculty of Humanities and Social Sciences
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences

Abstract (english)

The paper elaborates the model of collaborative terminology contribution to the Art Architecture Thesaurus (AAT) through the cooperation of university teachers, students and museum professionals. The elaborated model can accelerate the otherwise time-consuming process of developing multilingual thesauri through greater student engagement while achieving multiple educational goals on real- world tasks. This model includes a statistical selection of the most frequent Croatian art and heritage domain terms and their links to relevant AAT concepts (accompanied with references to relevant literature and lexicographical sources). This process is conducted by students. Subsequent quality control methods include peer-checking and teacher supervision. Mapping of Croatian and English terms for specific concepts was further implemented through semantic technologies (SPARQL queries). Concepts that are particularly demanding are examined by scholars and museum professionals in the corresponding field. After the quality check, the terms would be included in the AAT and made available to open access as Linked Open Data (LOD), provided by the Getty Research Institute. The methods of quality control and student engagement are applied from crowdsourcing projects methodologies, but they were revised and improved concerning the specific needs and requirements of the educational context

• Keywords (english): Bloom's taxonomy; Citizen science; Crowdsourcing; Education; Learning outcomes; Linked open data; Thesaurus
• Language: english
• Publication type: Scientific paper - Original scientific paper
• Publication status: Published
• Peer review: Peer review - international
• Publication version: Published version
• Publication title: Proceedings of the 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)
• Numbering: pp. 722-726
• DOI: https://doi.org/10.23919/mipro48935.2020.9245204
• Publication: 2020
• Conference: Title: 43rd International Convention on Information, Communication and Electronic Technology (MIPRO); Location: Opatija, Croatia; Start date: 2022-09-28; End date: 2022-10-02; Assembly type: Lecture
• Type of resource: Text
• Publisher: IEEE
• Access conditions: Open access
• Created on: 2022-10-10 09:05:52