Welcome to the InfoSci Platform
A State of the Art on Big Data With Semantic Web Technologies

A State of the Art on Big Data With Semantic Web Technologies

Satyaveer Singh, Mahendra Singh Aswal
Copyright: © 2020 |Pages: 22
ISBN13: 9781799827726|ISBN10: 1799827720|EISBN13: 9781799827733
DOI: 10.4018/978-1-7998-2772-6.ch011
Cite Chapter Cite Chapter

MLA

Singh, Satyaveer, and Mahendra Singh Aswal. "A State of the Art on Big Data With Semantic Web Technologies." Handbook of Research on Engineering Innovations and Technology Management in Organizations, edited by Loveleen Gaur, et al., IGI Global, 2020, pp. 195-216. https://doi.org/10.4018/978-1-7998-2772-6.ch011

APA

Singh, S. & Aswal, M. S. (2020). A State of the Art on Big Data With Semantic Web Technologies. In L. Gaur, A. Solanki, V. Jain, & D. Khazanchi (Eds.), Handbook of Research on Engineering Innovations and Technology Management in Organizations (pp. 195-216). IGI Global. https://doi.org/10.4018/978-1-7998-2772-6.ch011

Chicago

Singh, Satyaveer, and Mahendra Singh Aswal. "A State of the Art on Big Data With Semantic Web Technologies." In Handbook of Research on Engineering Innovations and Technology Management in Organizations, edited by Loveleen Gaur, et al., 195-216. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2772-6.ch011

Export Reference

Mendeley
Favorite

Abstract

We live in a digital world where a large amount of data is being generated rapidly by various diverse sources with an unprecedented rate. The term Big Data has been coined to represent a large amount of data. But Big Data could not be processed and analysed by traditional database management systems. A number of challenges such as data heterogeneity and diversity are being faced by enterprises due to high volume, variety, and velocity of Big Data. Since the past few years, some research efforts have been attempted to integrate semantic web technologies such as ontologies with Big Data. This integration is paving the way to deal with various issues that are related to the processing of Big Data. This chapter firstly uncovers the fundamentals of Big Data, its characteristics and opportunities, challenges, related current tools, and technologies. Secondly, it tries to highlight the integration of Big Data with semantic web technologies. The promising research is going on to tackle volume and velocity of Big Data by using semantic technologies.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.