Design and Implementation of LOD Explorer: A LOD Exploration and Visualization Model

Jacksi, Karwan; Zeebaree, Subhi R. M.; Dimililer, Nazife

doi:10.38094/jastt1214

Cited by 20 publications

(13 citation statements)

References 7 publications

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“…The data will provide a preponderance of the evidence that support the researcher's hypothesis. With the advent of the Internet, many fields of research have chosen to gather data from the web [15]. Companies like Google, YouTube, and Amazon know how to customize the content for the customer's best interests [16].…”

Section: A Semantic Analysismentioning

confidence: 99%

“…It is the method of converting natural language output (spoken or written) into usable results. NLP is an exciting challenge because it requires computer and human interaction to implement it [15]. NLP is a field of computer studies concerned with studying and understanding the link between computers and the human language [19].…”

Section: B Natural Language Processingmentioning

confidence: 99%

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State of Art for Semantic Analysis of Natural Language Processing

Maulud

Zeebaree

Jacksi

et al. 2021

QAJ

Self Cite

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Semantic analysis is an essential feature of the NLP approach. It indicates, in the appropriate format, the context of a sentence or paragraph. Semantics is about language significance study. The vocabulary used conveys the importance of the subject because of the interrelationship between linguistic classes. In this article, semantic interpretation is carried out in the area of Natural Language Processing. The findings suggest that the best-achieved accuracy of checked papers and those who relied on the Sentiment Analysis approach and the prediction error is minimal.

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Section: A Semantic Analysismentioning

confidence: 99%

Section: B Natural Language Processingmentioning

confidence: 99%

State of Art for Semantic Analysis of Natural Language Processing

Maulud

Zeebaree

Jacksi

et al. 2021

QAJ

Self Cite

View full text Add to dashboard Cite

show abstract

“…Developing two basic concepts, private and public (i.e. cloud counterparts Intranets besides Internet, Online electronic message plus permitted facilities similar those Google gives which considered utmost acquainted cases of global one) [18]. Client machines, Distributed Servers, and Datacenters are the three basic segments (components) of cloud computing [19].…”

Section: Cloud Systemsmentioning

confidence: 99%

Real Time Face-mask Detection with Arduino to Prevent COVID-19 Spreading

Almufti

Marqas

Nayef

et al. 2021

QAJ

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The rise of COVID-19 pandemic has had a lasting impact in many countries worldwide since 2019. Face-mask detection had been significant progress in the Image processing and deep learning fields studies. Many face detection models have been designed using different algorithms and techniques. The proposed approach in this paper developed to avoid mask-less people from entering to a desired places (i.e. Mall, University, Office, …etc.) by detecting face mask using deep learning, TensorFlow, Keras, and OpenCV and sending a signal to Arduino device that connected to the gate to be open. it detect a face in a real-time and identifies whether the person wear mask or not. The method attains accuracy up to 97.80%. The dataset provided in this paper, was collected from various sources.

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“…This sharing defined as assigning process to the available resources to the clients according to their requirements [33], [34] . Mapping and scheduling are two steps of resource sharing of: calculating, planning allows locating them for application layer components like routers as example, hosts and connections of the network [35]- [37]. However the arrangement aims to improve the assigning of networkcomponents [38].…”

Section: Resource Allocationmentioning

confidence: 99%

Cloud Computing Virtualization of Resources Allocation for Distributed Systems

Shukur

Zeebaree

Zebari

et al. 2020

JASTT

Self Cite

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Cloud computing is a new technology which managed by a third party “cloud provider” to provide the clients with services anywhere, at any time, and under various circumstances. In order to provide clients with cloud resources and satisfy their needs, cloud computing employs virtualization and resource provisioning techniques. The process of providing clients with shared virtualized resources (hardware, software, and platform) is a big challenge for the cloud provider because of over-provision and under-provision problems. Therefore, this paper highlighted some proposed approaches and scheduling algorithms applied for resource allocation within cloud computing through virtualization in the datacenter. The paper also aims to explore the role of virtualization in providing resources effectively based on clients’ requirements. The results of these approaches showed that each proposed approach and scheduling algorithm has an obvious role in utilizing the shared resources of the cloud data center. The paper also explored that virtualization technique has a significant impact on enhancing the network performance, save the cost by reducing the number of Physical Machines (PM) in the datacenter, balance the load, conserve the server’s energy, and allocate resources actively thus satisfying the clients’ requirements. Based on our review, the availability of Virtual Machine (VM) resource and execution time of requests are the key factors to be considered in any optimal resource allocation algorithm. As a results of our analyzing for the proposed approaches is that the requests execution time and VM availability are main issues and should in consideration in any allocating resource approach.

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Design and Implementation of LOD Explorer: A LOD Exploration and Visualization Model

Cited by 20 publications

References 7 publications

State of Art for Semantic Analysis of Natural Language Processing

State of Art for Semantic Analysis of Natural Language Processing

Real Time Face-mask Detection with Arduino to Prevent COVID-19 Spreading

Cloud Computing Virtualization of Resources Allocation for Distributed Systems

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