Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/19899
Title: Semantic Annotation of Digital Objects by Multiagent Computing: Applications in Digital Heritage
Contributor(s): Foley, Jacob John (author); Kwan, Paul (supervisor); Welch, Mitchell  (supervisor)orcid 
Conferred Date: 2016
Copyright Date: 2016
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/19899
Abstract: Heritage organisations around the world are participating in broad scale digitisation projects, where traditional forms of heritage materials are being transcribed into digital representations in order to assist with their long-term preservation, facilitate cataloguing, and increase their accessibility to researchers and the general public. These digital formats open up a new world of opportunities for applying computational information retrieval techniques to heritage collections, making it easier than ever before to explore and document these materials. One of the key benefits of being able to easily share digital heritage collections is the strengthening and support of community memory, where members of a community contribute their perceptions and recollections of historical and cultural events so that this knowledge is not forgotten and lost over time. With the ever-growing popularity of digitally-native media and the high level of computer literacy in modern society, this is set to become a critical area for preservation in the immediate future.
Publication Type: Thesis Doctoral
Fields of Research (FoR) 2008: 080109 Pattern Recognition and Data Mining
080305 Multimedia Programming
080106 Image Processing
Fields of Research (FoR) 2020: 461199 Machine learning not elsewhere classified
460399 Computer vision and multimedia computation not elsewhere classified
460306 Image processing
Socio-Economic Objective (SEO) 2008: 950303 Conserving Collections and Movable Cultural Heritage
890201 Application Software Packages (excl. Computer Games)
970108 Expanding Knowledge in the Information and Computing Sciences
Socio-Economic Objective (SEO) 2020: 130402 Conserving collections and movable cultural heritage
220401 Application software packages
280115 Expanding knowledge in the information and computing sciences
Rights Statement: Copyright 2016 - Jacob John Foley
HERDC Category Description: T2 Thesis - Doctorate by Research
Appears in Collections:Thesis Doctoral

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