Veracity Management in Big Data using Semantic Web Technology
R Revathy1, R Aroul Canessane2
1R Revathy, Research Scholar, Sathyabama Institute of Science and Technology, Chennai, India.
2R Aroul Canessane, Professor, Department of Computer Science and Engineering, Faculty of Computing, Sathyabama Institute of Science and Technology, Chennai, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5586-5588 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9156118419/2019©BEIESP | DOI: 10.35940/ijrte.D9156.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big Data has been utilized on behalf of huge measure of information gathered through various implies as well as in different designs. Data Veracity eludes toward the vulnerability of accessible data which implies the nature of the gathered information can’t be confident. This article gives an account of continuous research dependent on utilizing the Semantic Web innovation toward confirm client’s keyed in information as well as increment steadfastness taking place Big Data. Approving, data cleansing as well as decreasing gathered information is the significant exercises needed toward upgrade the nature of the gathered data.
Keywords: Veracity, Big Data, Facebook and Semantic Web.
Scope of the Article: Big Data Networking.