Pregled bibliografske jedinice broj: 1116190
The Model of Collaborative Terminology Contribution to the Art & Architecture Thesaurus: Application and Improvement of Crowdsourcing Methods in an Educational Context
The Model of Collaborative Terminology Contribution to the Art & Architecture Thesaurus: Application and Improvement of Crowdsourcing Methods in an Educational Context // 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2020. str. 722-726 doi:10.23919/mipro48935.2020.9245204 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1116190 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The Model of Collaborative Terminology Contribution to the Art & Architecture Thesaurus: Application and Improvement of Crowdsourcing Methods in an Educational Context
Autori
Zlodi, Goran ; Ivanjko, Tomislav ; Steficar, Petra ; Marochini, Marta
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings
/ Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2020, 722-726
Skup
43rd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
Mjesto i datum
Opatija, Hrvatska, 28.09.2020. - 02.10.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Bloom's taxonomy ; citizen science ; crowdsourcing ; education ; learning outcomes ; linked open data ; thesaurus
Sažetak
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
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Filozofski fakultet, Zagreb