ICONCLASS - classification system for art and iconography

undergraduate thesis

• Title (croatian): ICONCLASS - Klasifikacijski sustav za umjetnost i ikonografiju
• Author: Anyla Kabashi
• Mentor: Goran Zlodi (mentor)
• Committee member: Helena Stublić (predsjednik povjerenstva)
• Committee member: Žarka Vujić (član povjerenstva)
• Committee member: Goran Zlodi (član povjerenstva)
• Granter: University of Zagreb; Faculty of Humanities and Social Sciences; (Department of information and Communication sciences); Zagreb
• Defense date and country: 2019-06-05, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences

Abstract

Documenting is a crucial activity for any museum or art institution. Today, that importance is growing for the metadata museum provides us with, is essential in retrieving information in the vast amount of data of the modern world. The goal of this study is to discuss the design of thesauri, how they work and what is their purpose in documenting museum objects. It further discusses content indexing together with aboutness, isness and ofness, to draw a parallel with Panofsky’s categories in iconography. The central focus of the work falls onto analyzing Iconclass, its features, and usage. Additionally, it concentrates on new developments in machine learning within artificial intelligence, which use Iconclass to generate and automatize new data and connections. Finally, it gives a brief overview of folksonomy and social tagging.

Abstract (croatian)

Dokumentiranje je ključna aktivnost svakog muzeja ili umjetničke institucije. Danas ta važnost raste jer metapodaci koje nam muzej pruža igraju bitnu ulogu u pronalaženju informacija u ogromnoj količini podataka suvremenog svijeta. Cilj ovog rada je predstaviti i raspravljati o dizajnu tezaurusa, kako oni rade i koja je njihova svrha u dokumentiranju muzejskih objekata. Nadalje se takodjer predstavlja sadržajnu obradu zajedno s sustinom, postojanoscu i svojstvom (aboutness, isness, ofness) kako bi se usporedila s Panofskijevim kategorijama u ikonografiji. Središnji fokus rada je analiziranje Iconclass-a, njegovih značajki i upotrebe. Osim toga, rad se usredotočuje na nove razvoje u strojnom učenju preko umjetne inteligencije, koji koriste Iconclass za generiranje i automatizaciju novih podataka i veza. Na kraju, daje se kratak pregled folksonomije i socijalnog označavanja.

• Keywords: Iconclass; content indexing; documenting; thesauri; Panofsky; iconography; machine learning
• Keywords (croatian): Iconclass; sadržajna obrada; dokumentiranje; tezaurusi; Panofsky; ikonografija; strojno učenje
• Language: english
• URN:NBN: urn:nbn:hr:131:711297
• Study programme: Title: Information Sciences; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2019-10-30 13:52:36