Significance of Web 0.0-4.0, Semantic Web, Cloud Computing and Drupal in Concomitant to Library/ Information/ Knowledge Centres Management

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.

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Metaphorical Communication about Nature

Perceptions of Knowledge Visualization - Advances in Multimedia and Interactive Technologies ◽

10.4018/978-1-4666-4703-9.ch008 ◽

2014 ◽

pp. 208-224

Keyword(s):

Data Mining ◽

Cloud Computing ◽

Semantic Web ◽

Data Visualization ◽

Knowledge Visualization ◽

Art And Science ◽

Learning And Teaching ◽

Mathematical Equations ◽

Abstract Ideas

Metaphors are present in our thoughts and make invisible concepts perceivable. The metaphorical way of perceptual imaging is discussed in this chapter, particularly the use of art and graphic metaphors for concept visualization. We may describe with metaphors the structure and the relations among several kinds of data. Metaphors may represent mathematical equations or geometrical curves and thus make abstract ideas visible. Most metaphors originate from biology-inspired thinking. Nature-derived metaphors support data visualization, information and knowledge visualization, data mining, Semantic Web, swarm computing, cloud computing, and serve as the enrichment of interdisciplinary models. This chapter examines examples of combining metaphorical visualization with artistic principles, and then describes the metaphorical way of learning and teaching with art and graphic metaphors aimed at improving one’s power of conveying meaning, integrating art and science, and visualizing knowledge.

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Integrated machine learning with semantic web for open government data recommendation based on cloud computing

Software Practice and Experience ◽

10.1002/spe.2892 ◽

2020 ◽

Vol 50 (12) ◽

pp. 2293-2312

Author(s):

I‐Ching Hsu ◽

Yin‐Hung Lin

Keyword(s):

Machine Learning ◽

Cloud Computing ◽

Semantic Web ◽

Open Government ◽

Open Government Data ◽

Government Data

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When cloud computing meets with Semantic Web: A new design for e-portfolio systems in the social media era

British Journal of Educational Technology ◽

10.1111/j.1467-8535.2010.01055.x ◽

2010 ◽

Vol 41 (6) ◽

pp. 1018-1028 ◽

Cited By ~ 19

Author(s):

Paul Kim ◽

Chen Kee Ng ◽

Gloria Lim

Keyword(s):

Social Media ◽

Cloud Computing ◽

Semantic Web ◽

The Social

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Providing a New Model for Discovering Cloud Services Based on Ontology

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.1577 ◽

2017 ◽

Vol 7 (6) ◽

pp. 2268-2272

Author(s):

B. Heydari ◽

M. Aajami

Keyword(s):

Cloud Computing ◽

Semantic Web ◽

Service Management ◽

High Efficiency ◽

Quality Parameters ◽

Parameters Estimation ◽

Cloud Services ◽

User Needs ◽

New Model ◽

Proposed Model

Due to its efficient, flexible, and dynamic substructure in information technology and service quality parameters estimation, cloud computing has become one of the most important issues in computer world. Discovering cloud services has been posed as a fundamental issue in reaching out high efficiency. In order to do one’s own operations in cloud space, any user needs to request several various services either simultaneously or according to a working routine. These services can be presented by different cloud producers or different decision-making policies. Therefore, service management is one of the important and challenging issues in cloud computing. With the advent of semantic web and practical services accordingly in cloud computing space, access to different kinds of applications has become possible. Ontology is the core of semantic web and can be used to ease the process of discovering services. A new model based on ontology has been proposed in this paper. The results indicate that the proposed model has explored cloud services based on user search results in lesser time compared to other models.

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Efficiency of Semantic Web Implementation on Cloud Computing: A Review

Qubahan Academic Journal ◽

10.48161/qaj.v1n3a72 ◽

2021 ◽

Vol 1 (3) ◽

pp. 1-9

Author(s):

Kazheen Ismael Taher ◽

Rezgar Hasan Saeed ◽

Rowaida Kh. Ibrahim ◽

Zryan Najat Rashid ◽

Lailan M. Haji ◽

...

Keyword(s):

Cloud Computing ◽

Semantic Web ◽

Large Scale ◽

Web Applications ◽

New Technology ◽

Cloud Services ◽

Facilities Management ◽

Heterogeneous Services ◽

Critical Components ◽

Definition Of

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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When the Future Finally Arrives

Grid and Cloud Computing ◽

10.4018/978-1-4666-0879-5.ch801 ◽

2012 ◽

pp. 1738-1751

Author(s):

Matt Crosslin

Keyword(s):

Cloud Computing ◽

Online Learning ◽

Semantic Web ◽

World Wide ◽

Three Dimensional ◽

The Internet ◽

Web 3.0 ◽

The World ◽

The Future ◽

Insight Into

This chapter examines how the World Wide Web could possibly change over the next 10 years into a concept increasingly being referred to as “Web 3.0,” and how these changes might affect education. It examines how Web 3.0 concepts such as cloud computing, the Semantic Web, and the three-dimensional (3-D) Web are currently being explored and realized. A possible future online learning scenario is also described and analyzed to help visualize these possibilities for education. The author hopes that providing an understanding of and insight into how the Internet and related technologies may continue to develop and evolve in the next several years will help educators be better prepared for the future of online learning.

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Open Taiwan Government data recommendation platform using DBpedia and Semantic Web based on cloud computing

International Journal of Web Information Systems ◽

10.1108/ijwis-02-2018-0015 ◽

2019 ◽

Vol 15 (2) ◽

pp. 236-254

Author(s):

I-Cheng Chen ◽

I-Ching Hsu

Keyword(s):

Cloud Computing ◽

Semantic Web ◽

Cluster Model ◽

Data Sets ◽

Query Interface ◽

Semantic Web Technologies ◽

Cloud Computing Environment ◽

Content Type ◽

Web Technologies ◽

Government Data

Purpose In recent years, governments around the world are actively promoting the Open Government Data (OGD) to facilitate reusing open data and developing information applications. Currently, there are more than 35,000 data sets available on the Taiwan OGD website. However, the existing Taiwan OGD website only provides keyword queries and lacks a friendly query interface. This study aims to address these issues by defining a DBpedia cloud computing framework (DCCF) for integrating DBpedia with Semantic Web technologies into Spark cluster cloud computing environment. Design/methodology/approach The proposed DCCF is used to develop a Taiwan OGD recommendation platform (TOGDRP) that provides a friendly query interface to automatically filter out the relevant data sets and visualize relationships between these data sets. Findings To demonstrate the feasibility of TOGDRP, the experimental results illustrate the efficiency of the different cloud computing models, including Hadoop YARN cluster model, Spark standalone cluster model and Spark YARN cluster model. Originality/value The novel solution proposed in this study is a hybrid approach for integrating Semantic Web technologies into Hadoop and Spark cloud computing environment to provide OGD data sets recommendation.

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