CQUniversity
Browse

Understanding link changes in LOD via the evolution of life science datasets

Download (731.38 kB)
conference contribution
posted on 2024-12-16, 03:20 authored by AG Regino, JK Rodrigues Matsoui, JC dos Reis, R Bonacin, Md MorshedMd Morshed, T Sellis
RDF data has been extensively deployed for the interlinking of health-related data in a structured way. The definition of link statements between distinct resources plays a key role to interconnect several life science repositories. However, RDF assertions are subject to change, which can affect existing links. In this article, we conduct extensive experiments to understand the evolution of links in the Linked Open Data (LOD). The objective is to empirically associate changes in the semantic definition of data resources with modifications observed in predefined links. We consider two versions of the Agrovoc RDF repository to calculate different types of change operations and associate them to link change actions. Obtained results indicate the existence of the cases investigated in this study. We demonstrate that RDF changes impact the evolution of established links.

History

Editor

Hasnain A; Novacek V; Dumontier M; Rebholz-Schuhmann D

Volume

2477

Start Page

40

End Page

54

Number of Pages

15

Start Date

2019-11-27

Finish Date

2019-11-27

ISSN

1613-0073

Location

Auckland, New Zealand

Publisher

CEUR-WS

Place of Publication

Online

Additional Rights

CC-BY 4.0

Peer Reviewed

  • Yes

Open Access

  • Yes

Era Eligible

  • Yes

Name of Conference

Semantic Web Solutions for Large-Scale Biomedical Data Analytics, SeWeBMeDa 2019

Parent Title

Proceedings of the Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics co-located with 18th International Semantic Web Conference (ISWC 2019)

Usage metrics

    CQUniversity

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC