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Izvorni znanstveni članak
https://doi.org/10.20532/cit.2017.1003477

LinkED: A Novel Methodology for Publishing Linked Enterprise Data

Shreyas Suresh Rao   ORCID icon orcid.org/0000-0003-2191-1754 ; Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal University, India
Ashalatha Nayak ; Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal University, India

Puni tekst: engleski, pdf (622 KB) str. 191-209 preuzimanja: 228* citiraj
APA 6th Edition
Rao, S.S. i Nayak, A. (2017). LinkED: A Novel Methodology for Publishing Linked Enterprise Data. Journal of computing and information technology, 25 (3), 191-209. https://doi.org/10.20532/cit.2017.1003477
MLA 8th Edition
Rao, Shreyas Suresh i Ashalatha Nayak. "LinkED: A Novel Methodology for Publishing Linked Enterprise Data." Journal of computing and information technology, vol. 25, br. 3, 2017, str. 191-209. https://doi.org/10.20532/cit.2017.1003477. Citirano 24.07.2019.
Chicago 17th Edition
Rao, Shreyas Suresh i Ashalatha Nayak. "LinkED: A Novel Methodology for Publishing Linked Enterprise Data." Journal of computing and information technology 25, br. 3 (2017): 191-209. https://doi.org/10.20532/cit.2017.1003477
Harvard
Rao, S.S., i Nayak, A. (2017). 'LinkED: A Novel Methodology for Publishing Linked Enterprise Data', Journal of computing and information technology, 25(3), str. 191-209. https://doi.org/10.20532/cit.2017.1003477
Vancouver
Rao SS, Nayak A. LinkED: A Novel Methodology for Publishing Linked Enterprise Data. Journal of computing and information technology [Internet]. 2017 [pristupljeno 24.07.2019.];25(3):191-209. https://doi.org/10.20532/cit.2017.1003477
IEEE
S.S. Rao i A. Nayak, "LinkED: A Novel Methodology for Publishing Linked Enterprise Data", Journal of computing and information technology, vol.25, br. 3, str. 191-209, 2017. [Online]. https://doi.org/10.20532/cit.2017.1003477

Sažetak
Semantic Web technologies have redefined and strengthened the Enterprise-Web interoperability over the last decade. Linked Open Data (LOD) refers to a set of best practices that empower enterprises to publish and interlink their data using existing ontologies on the World Wide Web. Current research in LOD focuses on expert search, the creation of unified information space and augmentation of core data from an enterprise context. However, existing approaches for publication of enterprise data as LOD are domain-specific, ad-hoc and suffer from lack of uniform representation across domains. The paper proposes a novel methodology called LinkED that contributes towards LOD literature in two ways: (a) streamlines the publishing process through five stages of cleaning, triplification, interlinking, storage and visualization; (b) addresses the latest challenges in LOD publication, namely: inadequate links, inconsistencies in the quality of the dataset and replicability of the LOD publication process. Further, the methodology is demonstrated via the publication of digital repository data as LOD in a university setting, which is evaluated based on two semantic standards: Five-Star model and data quality metrics. Overall, the paper provides a generic LOD publication process that is applicable across various domains such as healthcare, e-governance, banking, and tourism, to name a few.

Ključne riječi
linked open data; semantic web; enterprise-web interoperability; enterprise data; digital repository

Hrčak ID: 188346

URI
https://hrcak.srce.hr/188346

Posjeta: 290 *