Modelling the Provenance of Linked Data Interlinks for the Library Domain

McKenna, Lucy; Debruyne, Christophe; O’Sullivan, Declan

doi:10.1145/3308560.3316518

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…PROV-O is composed of domainindependent and general-purpose concepts. Its most important reason for being created as a general-purpose ontology is to produce a dictionary that can cover different needs and to encourage studies addressing provenance [14][15][16][17][18]. It represents tracking changes that occur during the creation or updating of sources on the Web.…”

Section: Provenance Ontologiesmentioning

confidence: 99%

Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space

SOYGAZİ,

TUĞLULAR,

DİKENELLİ

2023

EJT

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The need to track the origin of shared data/datasets has become apparent, highlighting the necessity of monitoring factors such as trust related to the data/datasets with the widespread use of social media. The concept of Linked Data Space needs to be considered in conjunction with organizations and their provenance with respect to their origin assuming that the shared data is semantic and considering organizations' access to relevant semantic data. In this context, this study elaborates on the concept of Linked Data Space, introducing the terms Internal Data and External Data to the literature. An architecture for Linked Data Space and data management for organizations is defined in addition to these concepts. Furthermore, the study explains how organizations can access External Data in the Linked Data Space and how provenance metadata and ontologies will be created. These developed methods are illustrated in the News Aggregator Scenario, a main scenario for provenance, demonstrating how it can work in a use case.

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Section: Provenance Ontologiesmentioning

confidence: 99%

Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space

SOYGAZİ,

TUĞLULAR,

DİKENELLİ

2023

EJT

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“…Park and Tosaka [276] conducted an online survey to relating to the current state of practitioners' experience with emerging standards and technologies for data and information organisation, as well as the state of professional training and existing CE barriers in these areas. Finally, McKenna et al [277] conducted a survey as well, which explored information professionals' position. Results showed that they found the process of linked data process to be rather challenging.…”

Section: Privacy In Librariesmentioning

confidence: 99%

Linked data for libraries: Creating a global knowledge space, a systematic literature review

Gaitanou

Andreou

Sicilia

et al. 2022

Journal of Information Science

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The Semantic Web in general and the Linked Open Data Initiative, in particular, are a growing movement for organisations to make their existing data available in a machine-readable format. Thus, institutions are highly encouraged to publish, share and interlink their data publicly. The more data are opened on the Web (Open Data), the more integrated sets of data will be connected in the Semantic Web (Linked Open Data). Within this context, libraries can complement their data by linking it to other, external data sources. The purpose of this article is to identify papers that refer to linked data in libraries, emphasising the ways that linked data empower libraries to put their knowledge in the context of the open-world, thus enhancing semantic technology innovations. The study considered papers published between 2008 and 2019 in English and presents the collected literature by grouping it according to the topic each paper refers to. The results show that libraries are facing a period of continuing change which present several challenges and indicate that they are moving towards developing new practices, policies and services.

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“…NAISC-L provenance data model, described in detail inMcKenna et al (2019a), is based on the PROV Data Model-a Web-Oriented provenance standard, developed by the W3C Provenance Working Group, for the representation and exchange of provenance information(Belhajjame et al 2013). The PROV Ontology (PROV-O) is an OWL ontology that maps the PROV Data Model to RDF.…”

mentioning

confidence: 99%

Using Linked Data to create provenance-rich metadata interlinks: the design and evaluation of the NAISC-L interlinking framework for libraries, archives and museums

2022

Self Cite

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Linked data (LD) have the capability to open up and share materials, held in libraries, archives and museums (LAMs), in ways that are restricted by many existing metadata standards. Specifically, LD interlinking can be used to enrich data and to improve data discoverability on the Web through interlinking related resources across datasets and institutions. However, there is currently a notable lack of interlinking across leading LD projects in LAMs, impacting upon the discoverability of their materials. This research describes the Novel Authoritative Interlinking for Semantic Web Cataloguing in Libraries (NAISC-L) interlinking framework. Unlike existing interlinking frameworks, NAISC-L was designed specifically with the requirements of the LAM domain in mind. The framework was evaluated by Information Professionals (IPs), including librarians, archivists and metadata cataloguers, via three user-experiments including a think-aloud test, an online interlink creation test and a field test in a music archive. Across all experiments, participants achieved a high level of interlink accuracy, and usability measures indicated that IPs found NAISC-L to be useful and user-friendly. Overall, NAISC-L was shown to be an effective framework for engaging IPs in the process of LD interlinking, and for facilitating the creation of richer and more authoritative interlinks between LAM resources. NAISC-L supports the linking of related resource across datasets and institutions, thereby enabling richer and more varied search queries, and can thus be used to improve the discoverability of materials held in LAMs.

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Modelling the Provenance of Linked Data Interlinks for the Library Domain

Cited by 4 publications

References 14 publications

Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space

Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space

Linked data for libraries: Creating a global knowledge space, a systematic literature review

Using Linked Data to create provenance-rich metadata interlinks: the design and evaluation of the NAISC-L interlinking framework for libraries, archives and museums

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