Raif-Semantics: A Robust Automated Interlinking Framework for Semantic Web Using MapReduce and Multi-node Data Processing

2022 ◽  
Author(s):  
Shweta S. Aladakatti ◽  
S. Senthil Kumar
Keyword(s):  
Semantic Web ◽  
Query Language ◽  
Web Page ◽  
Web 3.0 ◽  
Detection Algorithms ◽  
Ideal System ◽  
Random Moment ◽  
Time Required ◽  
The Web ◽  
Meaningful Data

The era of the web has evolved and the industry strives to work better every day, the constant need for data to be accessible at a random moment is expanding, and with this expansion, the need to create a meaningful query technique in the web is a major concerns. To transmit meaningful data or rich semantics, machines/projects need to have the ability to reach the correct information and make adequate connections, this problem is addressed after the emergence of Web 3.0, the semantic web is developing and being collected an immense. Information to prepare, this passes the giant data management test, to provide an ideal result at any time needed. Accordingly, in this article, we present an ideal system for managing huge information using MapReduce structures that internally help an engine bring information using the strength of fair preparation using smaller map occupations and connection disclosure measures. Calculations for similarity can be challenging, this work performs five similarity detection algorithms and determines the time it takes to address the patterns that has to be a better choice in the calculation decision. The proposed framework is created using the most recent and widespread information design, that is, the JSON design, the HIVE query language to obtain and process the information planned according to the customer’s needs and calculations for the disclosure of the interface. Finally, the results on a web page is made available that helps a user stack json information and make connections somewhere in the range of dataset 1 and dataset 2. The results are examined in 2 different sets, the results show that the proposed approach helps to interconnect significantly faster; Regardless of how large the information is, the time it takes is not radically extended. The results demonstrate the interlinking of the dataset 1 and dataset 2 is most notable using LD and JW, the time required is ideal in both calculations, this paper has mechanized the method involved with interconnecting via a web page, where customers can merge two sets of data that should be associated and used.

Web 3.0 and E-Learning

2015 ◽  
pp. 101-123 ◽  
Author(s):  
Amit Chauhan
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Learning Goals ◽  
Learning Behavior ◽  
Defining Moment ◽  
Web 3.0 ◽  
E Learning ◽  
Future Of Education ◽  
The Web

The annals of the Web have been a defining moment in the evolution of education and e-Learning. The evolution of Web 1.0 almost three decades ago has been a precursor to Web 3.0 that has reshaped education and learning today. The evolution to Web 3.0 has been synonymous with “Semantic Web” or “Artificial Intelligence” (AI). AI makes it possible to deliver custom content to the learners based on their learning behavior and preferences. As a result of these developments, the learners have been empowered and have at their disposal a range of Web tools and technology powered by AI to pursue and accomplish their learning goals. This chapter traces the evolution and impact of Web 3.0 and AI on e-Learning and its role in empowering the learner and transforming the future of education and learning. This chapter will be of interest to educators and learners in exploring techniques that improve the quality of education and learning outcomes.

Web 3.0 and E-Learning

2016 ◽  
pp. 41-62
Author(s):  
Amit Chauhan
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Learning Goals ◽  
Learning Behavior ◽  
Defining Moment ◽  
Web 3.0 ◽  
E Learning ◽  
Future Of Education ◽  
The Web

The annals of the Web have been a defining moment in the evolution of education and e-Learning. The evolution of Web 1.0 almost three decades ago has been a precursor to Web 3.0 that has reshaped education and learning today. The evolution to Web 3.0 has been synonymous with “Semantic Web” or “Artificial Intelligence” (AI). AI makes it possible to deliver custom content to the learners based on their learning behavior and preferences. As a result of these developments, the learners have been empowered and have at their disposal a range of Web tools and technology powered by AI to pursue and accomplish their learning goals. This chapter traces the evolution and impact of Web 3.0 and AI on e-Learning and its role in empowering the learner and transforming the future of education and learning. This chapter will be of interest to educators and learners in exploring techniques that improve the quality of education and learning outcomes.

An Overview and Technological Background of Semantic Technologies

2021 ◽  
pp. 1-21
Author(s):  
Reinaldo Padilha França ◽  
Ana Carolina Borges Monteiro ◽  
Rangel Arthur ◽  
Yuzo Iano
Keyword(s):  
Semantic Web ◽  
Knowledge Representation ◽  
Data Representation ◽  
Current Data ◽  
The Internet ◽  
Semantic Technologies ◽  
Web Based ◽  
Web 3.0 ◽  
Technological Advances ◽  
The Web

The Semantic Web concept is an extension of the web obtained by adding semantics to the current data representation format. It is considered a network of correlating meanings. It is the result of a combination of web-based conceptions and technologies and knowledge representation. Since the internet has gone through many changes and steps in its web versions 1.0, 2.0, and Web 3.0, this last call of smart web, the concept of Web 3.0, is to be associated with the Semantic Web, since technological advances have allowed the internet to be present beyond the devices that were made exactly with the intention of receiving the connection, not limited to computers or smartphones since it has the concept of reading, writing, and execution off-screen, performed by machines. Therefore, this chapter aims to provide an updated review of Semantic Web and its technologies showing its technological origins and approaching its success relationship with a concise bibliographic background, categorizing and synthesizing the potential of technologies.

scholarly journals Using Flask for SQLIA Detection and Protection

2020 ◽  
Vol 27 (2) ◽  
pp. 1-14
Author(s):  
Ann Ablahd ◽  
Suhair Dawwod
Keyword(s):  
Web Application ◽  
Web Applications ◽  
Query Language ◽  
Structure Query Language ◽  
Web Page ◽  
Structured Query Language ◽  
On Line ◽  
Structure Query ◽  
Application Developers ◽  
The Web

At present the web applications are used for most of the life activities, these applications are affected by an attack called (Structure Query Language Injection Attack) SQLIA due to the vulnerabilities of the web application. The vulnerabilities of the web application are increased because most of application developers do not care to security in designing.SQL injection is a common attack that infects a web application. The attacker adds (Structured Query Language) SQL code to web page for accessing and changing victim databases.The vital step in securing the database and detecting such an attack in web apps is preparing a tool. Many researchers propose different ways for detection and prevention of such as an attack. In this paper a tool it proposed using a powerful micro-framework web application designer called Flask in Python 3.7 to detect and prevent such attacks. The proposed system is called SQLIAD. SQLIAD analyzed a web application on-line.

scholarly journals Rancang Bangun Plugin Protégé Menggunakan Ekspresi SPARQL-DL Dengan Masukan Bahasa Alami

2017 ◽  
Vol 11 (2) ◽  
pp. 155
Author(s):  
Muhammad Fahrurrozi ◽  
Azhari SN
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Sparql Query ◽  
Web Page ◽  
Object Property ◽  
Reasoning Abilities ◽  
Ontology Language ◽  
Query Structure ◽  
Logic Description ◽  
The Web

Semantic web is a technology that allows us to build a knowledge base or ontology for the information of the web page can be understood by computers. One software for building ontology-based semantic web is a protégé. Protege allows developers to develop an ontology with an expression of logic description. Protégé provides a plugin such as DL-Query and SPARQL-Query to display information that involve expression of class, property and individual in the ontology. The problem that then arises is DL-plugin Query only able to process the rules that involve expression of class to any object property, despite being equipped with the function of reasoning. while the SPARQL-Query plugin does not have reasoning abilities such as DL-Query plugin although the SPARQL-Query plugin can query memperoses rules involving class, property and individual. This research resulted in a new plugin using SPARQL-DL with input natural language as a protégé not provide a plugin with input natural language to see results from the combined expression-expression contained in the ontology that allows developers to view information ontology language that is easier to understand without having think of SPARQL query structure is complicated.

Customer Relationship Management in Social and Semantic Web Environments

2012 ◽  
pp. 83-92
Author(s):  
Ángel García-Crespo ◽  
Ricardo Colomo-Palacios ◽  
Juan Miguel Gómez-Berbís ◽  
Fernando Paniagua Martín
Keyword(s):  
Semantic Web ◽  
Customer Relationship Management ◽  
Dynamic Environment ◽  
Relationship Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Web 3.0 ◽  
Web Technologies ◽  
The Social ◽  
The Web

The growing influence of the Internet in current 21st-century everyday life has implied a paradigm shift in terms of relationships between customers and companies. New interaction means in the Web 1.0 have undergone a dramatic change in quantity and quality with the advent of the so-called Web 2.0, the Social Web. The upcoming Web 3.0, the Semantic Web will also impact tremendously in how companies understand Customer Relationship Management (CRM). In this dynamic environment, the present work presents a combination of both Social and Semantic Web Technologies and their application in the particular field of CRM. Tool and technology analysis both prove the challenging opportunities for these cutting-edge innovation trends in the CRM domain.

Towards Web 3.0

2010 ◽  
pp. 192-205 ◽  
Author(s):  
Tzanetos Pomonis ◽  
Dimitrios A. Koutsomitropoulos ◽  
Sotiris P. Christodoulou ◽  
Theodore S. Papatheodorou
Keyword(s):  
Semantic Web ◽  
Web 2.0 ◽  
Web Applications ◽  
Current Trend ◽  
Semantic Web Technologies ◽  
Web 3.0 ◽  
Web Technologies ◽  
Technological Limitations ◽  
Near Future ◽  
The Web

While the term Web 2.0 is used to describe the current trend in the use of Web technologies, the term Web 3.0 is used to describe the next generation Web, which will combine Semantic Web technologies, Web 2.0 principles, and artificial intelligence. Towards this perspective, in this work we introduce a 3-tier architecture for Web applications that will fit into the Web 3.0 definition. We present the fundamental features of this architecture, its components, and their interaction, as well as the current technological limitations. Furthermore, some indicative application scenarios are outlined in order to illustrate the features of the proposed architecture. The aim of this architecture is to be a step towards supporting the development of intelligent Semantic Web applications of the near future, as well as supporting the user collaboration and community-driven evolution of these applications.

New Communication Strategies and the Future of Advertising Narration

2019 ◽  
pp. 333-340
Author(s):  
Murat Koçyiğit
Keyword(s):  
Social Media ◽  
Semantic Web ◽  
Web Applications ◽  
Communication Strategies ◽  
Online Media ◽  
Semantic Web Technologies ◽  
Web 3.0 ◽  
Social Media Platforms ◽  
Web Experience ◽  
The Web

Nowadays, almost all consumers use social media platforms. Therefore, many consumers share their brand-related experiences on online platforms. Social media platforms have changed the way consumers communicate. It offers consumers the opportunity to contribute to the debate. By means of online media, individuals are no longer just content consumers. Online media users are both content-producing and prosumer. Hence, the prosumer, which produces the content itself and consumes itself, provides the multiple uses in the mass market. It has a comprehensive impact on the purchasing decisions of other consumers. Developing and changing communication technologies are to provide the development of new communication strategies. Moreover, Web 3.0 technology, the third level on the Web, is used by semantic web consumers. Web 3.0 (semantic web) technologies combine information. Semantic Web improves the web experience and makes it more relevant to their search. Web 3.0 stands out with its ability to share meaning and run useful and entertaining web applications.

Developing Rich Internet Applications as Social Sites on the Semantic Web

2013 ◽  
pp. 134-155 ◽  
Author(s):  
Jesús M. Hermida ◽  
Santiago Meliá ◽  
Andrés Montoyo ◽  
Jaime Gómez
Keyword(s):  
Semantic Web ◽  
Semantic Web Technologies ◽  
Internet Applications ◽  
Web 3.0 ◽  
Model Driven ◽  
Rich Internet Applications ◽  
External Sources ◽  
Speed Up ◽  
External Sources Of Knowledge ◽  
The Web

Current Web 2.0 applications, either social sites or Rich Internet Applications, share several problems of interoperability when interconnecting different systems. It is therefore complicated to reuse (or export) the information between sources. In this context, where the value belongs to the data, not the application, the use of Semantic Web technologies opens a way of resolution with mature and standard technologies, thus leading to the Web 3.0. This paper presents the application of Sm4RIA (Semantic Models for RIA), a model-driven design methodology that facilitates the development of semantic RIAs (SRIA), to the design of social network sites. The SRIA approach introduced herein combines the main advantages present in each of the current trends on the Web. In addition to these benefits, the application of a model-driven methodology can speed up the development process and simplify the reuse of external sources of knowledge.

Developing Rich Internet Applications as Social Sites on the Semantic Web

2011 ◽  
Vol 2 (4) ◽  
pp. 21-41 ◽  
Author(s):  
Jesús M. Hermida ◽  
Santiago Meliá ◽  
Andrés Montoyo ◽  
Jaime Gómez
Keyword(s):  
Semantic Web ◽  
Semantic Web Technologies ◽  
Internet Applications ◽  
Web 3.0 ◽  
Model Driven ◽  
Rich Internet Applications ◽  
External Sources ◽  
Speed Up ◽  
External Sources Of Knowledge ◽  
The Web

Current Web 2.0 applications, either social sites or Rich Internet Applications, share several problems of interoperability when interconnecting different systems. It is therefore complicated to reuse (or export) the information between sources. In this context, where the value belongs to the data, not the application, the use of Semantic Web technologies opens a way of resolution with mature and standard technologies, thus leading to the Web 3.0. This paper presents the application of Sm4RIA (Semantic Models for RIA), a model-driven design methodology that facilitates the development of semantic RIAs (SRIA), to the design of social network sites. The SRIA approach introduced herein combines the main advantages present in each of the current trends on the Web. In addition to these benefits, the application of a model-driven methodology can speed up the development process and simplify the reuse of external sources of knowledge.

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