Conference Paper: “Modelling the Provenance of Linked Data Interlinks for the Library Domain”

The following paper was presented at the 2019 World Wide Web Conference held in San Francisco, May 13 – 17, 2019.

Title

Modelling the Provenance of Linked Data Interlinks for the Library Domain

Authors

Lucy McKenna
ADAPT, Trinity College Dublin

Christophe Debruyne
ADAPT, Trinity College Dublin

Declan O’Sullivan
ADAPT, Trinity College Dublin

Source

Companion Proceedings of The 2019 World Wide Web Conference

Abstract

As the Web of Data grows, so does the need to establish the quality and trustworthiness of its contents. Increasing numbers of libraries are publishing their metadata as Linked Data (LD). As these institutions are considered authoritative sources of information, it is likely that library LD will be treated with increased credibility over data published by other sources. However, in order to establish this trust, the provenance of library LD must be provided.

In 2018 we conducted a survey which explored the position of Information Professionals (IPs), such as librarians, archivists and cataloguers, with regards to LD. Results indicated that IPs find the process of LD interlinking to be a particularly challenging. In order to publish authoritative interlinks, provenance data for the description and justification of the links is required.

As such, the goal of this research is to provide a provenance model for the LD interlinking process that meets the requirements of library metadata standards. Many current LD technologies are not accessible to nontechnical experts or attuned to the needs of the library domain. By designing a model specifically for libraries, with input from IPs, we aim to facilitate this domain in the process of creating interlink provenance data.

Access Full Text (HTML and PDF)

• Direct to HTML Version

• Direct to PDF Version

Filed under: Conference Presentations, Data Files, Journal Articles, Libraries, News, Publishing