Expert-guided semantic linking of music-library metadata for study and reuse

Weigl, David M.; Lewis, David; Crawford, Tim and Page, Kevin R.. 2015. 'Expert-guided semantic linking of music-library metadata for study and reuse'. In: International Workshop on Digital Libraries for Musicology. Knoxville, TN, United States. [Conference or Workshop Item]

[img] Text
ExpertGuidedSemanticLinkingOfMusicLibraryMetadataForStudyAndReuse.pdf - Accepted Version
Permissions: GRO Registered Users Only
Available under License Creative Commons Attribution Non-commercial.

Download (2MB)

Abstract or Description

The process of aligning datasets that lack mutually-shared identifiers is fraught with ambiguity and difficult to automate. Manual performance of such a process may be time-consuming and error-prone. We present the Semantic Alignment and Linking Tool (SALT) that addresses this problem by applying semantic technologies and Linked Data approaches in order to produce candidate alignment suggestions that may be confirmed or disputed by a user with domain expertise. These decisions are integrated back into the knowledge base and are available for further iterative comparison by the user; the complete RDF graph is published and can be queried through the same SPARQL endpoint that also underlies the SALT user interface. Provenance of the musicologist's judgement is captured and added to the descriptive graph, supporting further discourse and counter-proposals. We report on a use case and perform an evaluation of this tool within a musicological context, joining metadata from the British Library and other sources with programme data from BBC Radio 3 in a project focusing on early music.

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):

https://doi.org/10.1145/2785527.2785528

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
26 June 2015Published

Event Location:

Knoxville, TN, United States

Item ID:

17633

Date Deposited:

01 Apr 2016 13:40

Last Modified:

21 Dec 2022 14:31

URI:

https://research.gold.ac.uk/id/eprint/17633

View statistics for this item...

Edit Record Edit Record (login required)