The role of collaborative tagging and ontologies in emerging semantic of web resources

PageRank plays a vital role towards the preparation of the index for web resources. The index is processed by crawling down the relevant websites. Hence, the validation of computed PageRank is crucially significant towards the reliability enhancement of processed indexed list. On the other hand, energy efficiency and the stability of a system are crucially towards the environmental sustainability. In this regard, an energy stability-based PageRank validation model in Cellular Automata is presented in this research which facilitates a very low energy consumption by its physical components. Detailed investigations in view of energy stability explore the role of energy stability towards the validation of PageRank. Hence, an alternative approach towards the validation of PageRank using energy stability is presented in this research. Analytical results obtained with proposed approach for several Clouds further explore its potential capability as a green computing model in the Cloud.

Download Full-text

Towards an Emergent Semantic of Web Resources Using Collaborative Tagging

Model and Data Engineering - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66854-3_27 ◽

2017 ◽

pp. 357-371 ◽

Cited By ~ 3

Author(s):

Sara Qassimi ◽

El Hassan Abdelwahed ◽

Meriem Hafidi ◽

Rachid Lamrani

Keyword(s):

Collaborative Tagging ◽

Web Resources

Download Full-text

Digital Literacy in Arabic Speakers: The Role of Bilingualism in Effective Use of Web Resources

A Digital Janus ◽

10.1163/9781848883055_021 ◽

2014 ◽

pp. 243-251

Keyword(s):

Digital Literacy ◽

Web Resources ◽

Arabic Speakers ◽

Effective Use

Download Full-text

Web Usage Mining by Neural Hybrid Prediction with Markov Chain Components

Journal of Web Engineering ◽

10.13052/jwe1540-9589.2053 ◽

2021 ◽

Author(s):

Arpad Gellert

Keyword(s):

Neural Network ◽

Prediction Accuracy ◽

Web Browser ◽

Web Prefetching ◽

Web Resources ◽

Web Usage ◽

The Neural Network ◽

Prediction Technique ◽

Web Access

This paper presents and evaluates a two-level web usage prediction technique, consisting of a neural network in the first level and contextual component predictors in the second level. We used Markov chains of different orders as contextual predictors to anticipate the next web access based on specific web access history. The role of the neural network is to decide, based on previous behaviour, whose predictor’s output to use. The predicted web resources are then prefetched into the cache of the browser. In this way, we considerably increase the hit rate of the web browser, which shortens the load times. We have determined the optimal configuration of the proposed hybrid predictor on a real dataset and compared it with other existing web prefetching techniques in terms of prediction accuracy. The best configuration of the proposed neural hybrid method provides an average web access prediction accuracy of 86.95%.

Download Full-text

PHP 8 release to upgrade library websites

Scientific and Technical Libraries ◽

10.33186/1027-3689-2021-10-81-90 ◽

2021 ◽

pp. 81-90

Author(s):

A. S. Batalov

Keyword(s):

Content Management ◽

Management Systems ◽

Website Design ◽

Safety Level ◽

Web Resources ◽

Recent Information ◽

Library Websites ◽

Content Management Systems

The author explores the possibility to update PHP language up to PHP 8 in the library websites. Such upgrade is determined by the need for recommended safety level for web-resources. As exemplified by St. Petersburg library websites, the role of PHP language is demonstrated: 70% library websites are based on this technology. The content management systems (CMS) and PHP language versions are identified. For the three most popular CMS (CMS WordPress, CMS Joomla!, without CMS), technological recommendations are given on how to transfer to the new PHP versions (as for early 2021). About 28% websites do not use CMS. Their compatibility with PHP new version has to be provided individually. Approx. 28% library websites use CMS Joomla!, and 19% – CMS WordPress. Today, these management systems cannot support PHP 8 in full: WordPress is beta-compatible, while with Joomla! the work has been just in progress. The most recent information for IT specialists interested in library website design is given; releases to follow PHP 8 after November 2020, are described.

Download Full-text

Can Webometrics Predict the Academic Rankings of Institutes?

The Journal of Prediction Markets ◽

10.5750/jpm.v14i2.1816 ◽

2020 ◽

Vol 14 (2) ◽

pp. 61-76

Author(s):

Saurabh Kumar

Keyword(s):

Linear Regression ◽

Regression Tree ◽

Classification And Regression Tree ◽

Web Resources ◽

Classification And Regression ◽

Academic Ranking ◽

Academic Rankings

Webometrics can be used for understanding the quantitative aspects of web resources. The present study investigates the role of webometrics in determining the academic ranking of the institute. The extensive research was conducted on a sample of 59 reputed academic institutes based out of India. The data was analysed using two techniques viz. linear regression and classification and regression tree. From the results of the study, it was found that among all the webometrics parameters, Alexa rank and Semrush rank of the website was found to be the most crucial factor for determining the academic ranking of the institute. The study has insights for policymakers of the institute as the results of the study can be used for devising various ways to improve the webometrics parameters in order to enhance the academic ranking of the institute.

Download Full-text

Supporting College Students with Disorder of Written Expression: A Web-Based Model for Teachers in Under- Resourced Contexts

International Journal of Emerging Technologies in Learning (iJET) ◽

10.3991/ijet.v15i11.12767 ◽

2020 ◽

Vol 15 (11) ◽

pp. 252

Author(s):

Ani Zhang ◽

Xiaodong Zhang

Keyword(s):

College Students ◽

Educational Equity ◽

Written Expression ◽

College Teachers ◽

Students With Special Needs ◽

Web Based ◽

College English ◽

Web Resources ◽

Directed Development

In many under-resourced contexts, college teachers who have students with special needs are often insufficiently supported due to external constraints, such as limited teacher training or geographical constraints. To promote educational equity as well as college teachers’ development in under-resourced contexts, this paper provides a model that highlights the role of college teachers’ self-directed development in relation to the use of web resources as knowledge suppliers. In particular, with disorder of written expression in English as the focus, the study demonstrates how college English teachers gain a systematic and multi-layered understanding of writing as a meaning-based activity through their self-directed use of web resources to best help the students. This paper concludes with implications in relation to the potential challenges of implementing the model at various levels in under-resourced contexts (e.g., the role of institutional assistance).

Download Full-text