Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22020
Title: A Web-Based Infrastructure for the Assisted Annotation of Heritage Collections
Contributor(s): Foley, Jacob (author); Kwan, Paul  (author); Welch, Mitchell  (author)orcid 
Publication Date: 2017
DOI: 10.1145/3012287
Handle Link: https://hdl.handle.net/1959.11/22020
Abstract: Annotations provide a valuable perspective on the semantic information present in digital heritage collections, and in recent years they've been employed in a number of innovative, user-centric techniques that can personalise a user's experience of heritage materials, such as by actively adapting exhibits as a user reveals their interests, or by guiding users to explore collections which are meaningfully linked to what they have previously encountered. Despite the captivating opportunities offered by these techniques, collecting annotations for a large heritage collection is no trivial task. A significant amount of work is required to manually annotate large quantities of heritage materials, and automated, computational approaches leave much to be desired regarding the level of insight and semantic richness that they can currently provide. By analysing the emergent relationships between the initial annotations in a collection, we propose a metadata-driven algorithm for assisting and augmenting the annotation process. This algorithm, called SAGA (Semantically-Annotated Graph Analysis), allows for semi-automatic annotation, which balances the value of the contributions of human annotators with the time and effort-saving benefits of an automatic, suggestion-driven process. SAGA uses an entity relationship-driven approach to make annotation suggestions. It is used in the context of a web-based infrastructure called SAGE (Semantic Annotation by Group Exploration), a multiagent environment which assists groups of experts in creating comprehensive annotation sets for heritage collections. SAGA and SAGE are evaluated from the perspectives of suggestion accuracy, explicit user acceptance and implicit user acceptance, and demonstrate strong results in each evaluation.
Publication Type: Journal Article
Source of Publication: ACM Journal on Computing and Cultural Heritage, 10(3), p. 1-25
Publisher: Association for Computing Machinery
Place of Publication: United States of America
ISSN: 1556-4711
1556-4673
Field of Research (FOR): 080602 Computer-Human Interaction
080306 Open Software
080707 Organisation of Information and Knowledge Resources
Socio-Economic Outcome Codes: 890201 Application Software Packages (excl. Computer Games)
950303 Conserving Collections and Movable Cultural Heritage
970108 Expanding Knowledge in the Information and Computing Sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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