Picture Perfect: Computational methods for matching historical photographic records across different collections
Date
2015
Advisors
Journal Title
Journal ISSN
ISSN
DOI
Volume Title
Publisher
University of Greenwich
Type
Conference
Peer reviewed
Yes
Abstract
While there is growing consensus among museum professionals and users about the importance of data integration, cross-collection searching remains a significant challenge. This paper describes a novel approach to interrogating different online collections to identify potential matches between them, using fuzzy logic based data mining algorithms.
Description
This project was in collaboration with the Centre for Computational Intelligence.
Keywords
Cross searching, ontologies, Semantic Web, linked data, photographic collections, matching records, resource discovery
Citation
Brown, S., Coupland, S., Croft, D. (2014) Picture Perfect: Computational methods for matching historical photographic records across different collections. In: Maragiannis, A. (Ed.) Final Paper /Proceedings of the Digital Research in the Humanities and Arts conference, University of Greenwich, 31 August - 3 September 2014, DRHA2014, London pp. 17-22