A semantic smart interconnected healthcare system using ontology and cloud computing

Abatal, Ahmed; Khallouki, Hajar; Bahaj, Mohamed

doi:10.1109/icoa.2018.8370595

Cited by 16 publications

(4 citation statements)

References 7 publications

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“…Abascal et al [10] developed a semantic smart integrated healthcare infrastructure incorporating semantic web and cloud computing. As follows, the remainder of the paper is structured.…”

Section: Cloud-driven Semantic Webmentioning

confidence: 99%

“…A thesis by [7] based on the analysis and analysis of semantic annotation, making an argument for using cloud computing framework to overcome some of its problems. In addition, the paper evaluates the numerous ways in which semantic technology and cloud computing interact and critically examines existing work in each location [8][9][10][11]. It then specifically reflects on how cloud computing can make the semantic web simpler and develop some of its capabilities [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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Efficiency of Semantic Web Implementation on Cloud Computing: A Review

Taher

Saeed

Ibrahim

et al. 2021

QAJ

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Semantic web and cloud technology systems have been critical components in creating and deploying applications in various fields. Although they are self-contained, they can be combined in various ways to create solutions, which has recently been discussed in depth. We have shown a dramatic increase in new cloud providers, applications, facilities, management systems, data, and so on in recent years, reaching a level of complexity that indicates the need for new technology to address such tremendous, shared, and heterogeneous services and resources. As a result, issues with portability, interoperability, security, selection, negotiation, discovery, and definition of cloud services and resources may arise. Semantic Technologies, which has enormous potential for cloud computing, is a vital way of re-examining these issues. This paper explores and examines the role of Semantic-Web Technology in the Cloud from a variety of sources. In addition, a "cloud-driven" mode of interaction illustrates how we can construct the semantic web and provide automated semantical annotations to web applications on a large scale by leveraging Cloud computing properties and advantages.

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“…Abascal et al [10] developed a semantic smart integrated healthcare infrastructure incorporating semantic web and cloud computing. As follows, the remainder of the paper is structured.…”

Section: Cloud-driven Semantic Webmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficiency of Semantic Web Implementation on Cloud Computing: A Review

Taher

Saeed

Ibrahim

et al. 2021

QAJ

View full text Add to dashboard Cite

show abstract

“…The SNE minimizes the sum of the Kullback-Leibler divergence on each point using the descending gradient method through the cost function (3).…”

Section: A T-snementioning

confidence: 99%

“…al. [1] and Rehman & Gruhn [2] and doctor's offices in Abatal et al [3] and Alamri [4]. The expansion of this concept to meet the demands of a city was a natural transition where an investment of 80 billion dollars was expected for 2018 worldwide, with an increase in this investment to about $ 135 billion in 2021 [5].…”

Section: Introductionmentioning

confidence: 99%

Parallel t-SNE Applied to Data Visualization in Smart Cities

2020

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The growth of smart city applications is increasingly around the world, many cities invest in the development of these systems intending to improve the management and life of their residents. This increase is mainly due to the emergence of new technologies such as Big Data and Internet of Things (IoT). Some of the biggest challenges in applying these systems, relate to the processing, visualization, and analysis of the generated data, since most systems tend to work connected, thus generating a large mass of data that deviates from the standard of previously used systems. For data visualization, one of the main devices used is the reduction of dimensionality, in an attempt to bring data from one dimension N to two or three dimensions and thus be noticeable to human eyes. There are several algorithms used for dimensionality reduction, the linear ones that as the name implies, solve linearly separable problems and so these are very limited and the nonlinear ones, that solve more complex problems, but usually have an excessive runtime, making them or often inappropriate to apply. This article presents the parallel implementation of the nonlinear dimension reduction algorithm t-Distributed Stochastic Neighbor Embedding (t-SNE), showing better results than its conventional version in terms of runtime, thus showing that parallelism can make the problem of dimensionality reduction treatable, bringing greater scalability and delivering results within an acceptable time frame.

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An Expert System to Implement Symptom Analysis in Healthcare

Mohapatra

Anand

2021

Integration of Cloud Computing With Internet of Things

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A semantic smart interconnected healthcare system using ontology and cloud computing

Cited by 16 publications

References 7 publications

Efficiency of Semantic Web Implementation on Cloud Computing: A Review

Efficiency of Semantic Web Implementation on Cloud Computing: A Review

Parallel t-SNE Applied to Data Visualization in Smart Cities

An Expert System to Implement Symptom Analysis in Healthcare

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