CBDR: An efficient storage repository for cultural big data.
Cultural data and information on the web are continuously increasing, evolving, and reshaping in the form of big data due to globalization, digitization, and its vast exploration, with common people realizing the importance of ancient values. Therefore, before it becomes unwieldy and too complex to...
| Publicado en: | Digital Scholarship in the Humanities Vol. 35; no. 4; pp. 893 - 904 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Dec2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=146804854&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 146804854 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Dec2020 vid: 35 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 146804854 10.1093/llc/fqz083 ppf: 893 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 506KB tig: atl: CBDR: An efficient storage repository for cultural big data. aug: au: Sharma, Seemu Bawa, Seema affil: Thapar Institute of Engineering and Technology , India su: Big data Institutional repositories Cultural property Storage Digitization sug: subj: Big data Institutional repositories Cultural property Storage Digitization ab: Cultural data and information on the web are continuously increasing, evolving, and reshaping in the form of big data due to globalization, digitization, and its vast exploration, with common people realizing the importance of ancient values. Therefore, before it becomes unwieldy and too complex to manage, its integration in the form of big data repositories is essential. This article analyzes the complexity of the growing cultural data and presents a Cultural Big Data Repository as an efficient way to store and retrieve cultural big data. The repository is highly scalable and provides integrated high-performance methods for big data analytics in cultural heritage. Experimental results demonstrate that the proposed repository outperforms in terms of space as well as storage and retrieval time of Cultural Big Data. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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