From Big Data to Knowledge: An Ontological Approach to Big Data Analytics.
The introduction of Big Data sets in the healthcare domain has presented opportunities to engage in analytics of very large sets containing both structured and unstructured data. With advances in information technology ( IT), these data sets have become available from diverse sources at greatly incr...
| Publicado en: | Review of Policy Research Vol. 31; no. 4; pp. 311 - 319 |
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| Formato: | Artículo |
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Wiley-Blackwell
Jul2014
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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=ssf&AN=97054908&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 97054908 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 1541132X MJJ jtl: Review of Policy Research issn: 1541132X maglogo: Y pubinfo: dt: Jul2014 vid: 31 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 97054908 10.1111/ropr.12077 ppf: 311 ppct: 8 formats: fmt: @attributes: type: P size: 253KB tig: atl: From Big Data to Knowledge: An Ontological Approach to Big Data Analytics. aug: au: Kuiler, Erik W. affil: Systems Made Simple, Inc. su: Ontology Health policy Big data Computers in medical care Database management Information technology management Data analysis sug: subj: Ontology Health policy Data Processing, Hosting, and Related Services Administration of Public Health Programs Big data Computers in medical care Database management Information technology management Data analysis keyword: Big Data database management health and medicine high‐tech high-tech ICTs IT national governance ontology Big Data database management health and medicine high‐tech high-tech ICTs IT national governance ontology ab: The introduction of Big Data sets in the healthcare domain has presented opportunities to engage in analytics of very large sets containing both structured and unstructured data. With advances in information technology ( IT), these data sets have become available from diverse sources at greatly increased rates. The availability of Big Data sets has introduced complexities that we must address, not only in terms of semantics and analytics but also in terms of data management, storage, and distribution. Currently, the capabilities to ingest, analyze, and manage multipetabyte data sets have underscored the limitations of our analytics capabilities supported by relational database management systems. This essay argues that an ontology-based approach to data analytics provides a practical framework to address the semantic challenges presented by Big Data sets. No ontological framework can address the operational and management requirements introduced by the availability of Big Data sets, however. There are also a number of IT architectural factors that must be considered in implementing such a framework. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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