Towards the Development of a Framework for Socially Responsible Software by Analyzing Social Media Big Data on Cloud Through Ontological Engineering

Chauhan, Alok; Vijayakumar, V.; Vincent, Rajiv; Pradeep, K.

doi:10.1016/j.procs.2015.04.026

Cited by 1 publication

(2 citation statements)

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“…More illustrations can be found in the literature on microblog analytics, an upper ontology for the social web, social semantic web and big data analytics based on social networks. Therefore, Chauhan et al (2015) advocated focusing on socially conscious behavior monitoring/analysis using social media big data and developing an upper-level ontology as the tool/framework for such analytics. At the moment, the idea of socially responsible applications is restricted to creating a socially responsible agent in the abstract concept of solving an issue.…”

Section: Overviewmentioning

confidence: 99%

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How does cloud computing help businesses to manage big data issues

Latifian

2022

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PurposeBig data has posed problems for businesses, the Information Technology (IT) sector and the science community. The problems posed by big data can be effectively addressed using cloud computing and associated distributed computing technology. Cloud computing and big data are two significant past-year problems that allow high-efficiency and competitive computing tools to be delivered as IT services. The paper aims to examine the role of the cloud as a tool for managing big data in various aspects to help businesses.Design/methodology/approachThis paper delivers solutions in the cloud for storing, compressing, analyzing and processing big data. Hence, articles were divided into four categories: articles on big data storage, articles on big data processing, articles on analyzing and finally, articles on data compression in cloud computing. This article is based on a systematic literature review. Also, it is based on a review of 19 published papers on big data.FindingsFrom the results, it can be inferred that cloud computing technology has features that can be useful for big data management. Challenging issues are raised in each section. For example, in storing big data, privacy and security issues are challenging.Research limitations/implicationsThere were limitations to this systematic review. The first limitation is that only English articles were reviewed. Also, articles that matched the keywords were used. Finally, in this review, authoritative articles were reviewed, and slides and tutorials were avoided.Practical implicationsThe research presents new insight into the business value of cloud computing in interfirm collaborations.Originality/valuePrevious research has often examined other aspects of big data in the cloud. This article takes a new approach to the subject. It allows big data researchers to comprehend the various aspects of big data management in the cloud. In addition, setting an agenda for future research saves time and effort for readers searching for topics within big data.

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Section: Overviewmentioning

confidence: 99%

“…At the moment, the idea of socially responsible applications is restricted to creating a socially responsible agent in the abstract concept of solving an issue. Chauhan et al. (2015) applied this principle to a real-life scenario involving a social network application's action.…”

Section: Analyzingmentioning

confidence: 99%

How does cloud computing help businesses to manage big data issues

Latifian

2022

View full text Add to dashboard Cite

show abstract

Towards the Development of a Framework for Socially Responsible Software by Analyzing Social Media Big Data on Cloud Through Ontological Engineering

Cited by 1 publication

References 6 publications

How does cloud computing help businesses to manage big data issues

How does cloud computing help businesses to manage big data issues

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