A Novel Approach for Semantic Web Application in Online Education Based on Steganography

A Novel Approach for Semantic Web Application in Online Education Based on Steganography

Gurunath R., Debabrata Samanta
DOI: 10.4018/IJWLTT.285569
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Abstract

Semantic Web technology is not new as most of us contemplate; it has evolved over the years. Linked Data web terminology is the name set recently to the Semantic Web. Semantic Web is a continuation of Web 2.0 and it is to replace existing technologies. It is built on Natural Language processing and provides solutions to most of the prevailing issues. Web 3.0 is the version of Semantic Web caters to the information needs of half of the population on earth. This paper links two important current concerns, the security of information and enforced online education due to COVID-19 with Semantic Web. The Steganography requirement for the Semantic web is discussed elaborately, even though encryption is applied which is inadequate in providing protection. Web 2.0 issues concerning online education and semantic Web solutions have been discussed. An extensive literature survey has been conducted related to the architecture of Web 3.0, detailed history of online education, and Security architecture. Finally, Semantic Web is here to stay and data hiding along with encryption makes it robust.
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Introduction

The information-sharing through forms and documents on the web started in the 1990s that could be understood only by human beings. Computers till recently were called dumb machines because that could process the data in some manner rapidly, however, it could not understand the contents of the documents on the web. The latest version of web technology is called Semantic Web or Web 3.0, which can understand the web content and accordingly, processed by the machines. Earlier to this, Web was called the “Web of documents” and now it is termed as “web of data”; a kind of significant makeover achieved, and paralleled intelligence built into it. Therefore it is an extension of current Web.

Reasons for the development of the Semantic Web may be several. Automating the searches through virtual agents is the need of the hour, for example, Google Assistant, Amazon Alexa, iPhone's Siri. Curating the contents (Personalization) of the web by agents is been introduced. Since the Web contains enormous amounts of data, and highly difficult to track them everything. Good-old search engines fail to retrieve accurate information from the web. Semantic Web search engines are smart enough to retrieve needed information. Reuse of data on web was tough earlier, now the new version discovers and links every relevant data from different sources, and creates a data map of relation so that the existing data can be utilized in a much meaningful way. Isolated databases can now be used and a piece of new knowledge can be discovered(Padmanabhan, 2020).

The aim to build the semantic web is to provide a system that facilitates with machine-understandable web data, metadata, and other information objects. To achieve this, newest buzzword technologies namely, AI, NLP, Natural Language Understanding have become part of semantic Web technologies(Trending-topics, 2018).

This paper presents details in different parts pertaining to Web 3.0 Architecture, Current Web Status, Semantic Web Challenges, Need for Semantic Web, Semantic Web and Online Education, and Applications of Semantic Web Steganography.

Status of Current web

As per (Technology, 2020), more than 2.5 Quintillion (Approximately, 2273736 TB), bytes of data,has been generated every day.By 2025, it’s projected that 463 Exabyte of data will be produced each day globally (Forum, 2019) – that’s the equal to212,765,957 high volume CD’s per day!

The ratio of Active and inactive websites are 15:85%(Huss, 2020), that means, out of all websites very little websites are active. The graph and the table in Figure 1 illustrate the present status of the web.

Figure 1.

As on 2019 the total number of websites and active websites

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