Crowd mining applied to preservation of digital cultural heritage

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

268 Downloads (Pure)

Abstract

Accessible systems, in digital heritage as elsewhere, should ‘speak the user’s language’. However, over long time periods, this may change significantly, and the system must still keep track of it. Conceptualising and tracking change in a population may be achieved using a functional and computable model based on representative datasets. Such a model must encompass relevant characteristics in that population and support predefined functionality, such as the ability to track current trends in language use. Individual published viewpoints on any given platform may be observed in aggregate by means of a large-scale text mining approach. We have made use of social media platforms such as Twitter and Tumblr to collect statistical information about anonymous users’ perspectives on cultural heritage items and institutions. Through longitudinal studies, it is possible to identify indicators pointing to an evolution of discourse surrounding cultural heritage items, and provide an estimate of trends relating to represented items and creators. We describe a functional approach to building useful models of shift in contemporary language use, using data collection across social networks. This approach is informed by existing theoretical approaches to modelling of semantic change. As a case study, we present a means by which such ongoing user modelling processes drawing on contemporary resources can support ‘just-in-time’ pre-emptive review of material to be presented to the public. We also show that this approach can feed into enhancement of the data retrieval processes.
Original languageEnglish
Title of host publicationMuseum experience design
Subtitle of host publicationCrowds, Ecosystems and Novel Technologies
EditorsArnold Vermeeren , Licia Calvi , Amalia Sabiescu
PublisherSpringer International Publishing AG
Pages115-136
Volume1
ISBN (Electronic)978-3-319-58550-5
ISBN (Print)978-3-319-58549-9
DOIs
Publication statusPublished - 2018

Publication series

NameCultural Computing
PublisherSpringer

Fingerprint Dive into the research topics of 'Crowd mining applied to preservation of digital cultural heritage'. Together they form a unique fingerprint.

  • Cite this

    Tonkin, E. L., Tourte, G. J. L., & Gill, A. (2018). Crowd mining applied to preservation of digital cultural heritage. In A. Vermeeren , L. Calvi , & A. Sabiescu (Eds.), Museum experience design: Crowds, Ecosystems and Novel Technologies (Vol. 1, pp. 115-136). (Cultural Computing). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-58550-5