GOVT_EXAM ONTOLOGY IN SEMANTIC WEB FOR QUERY RETRIEVAL

2021 ◽  
Vol 12 (1) ◽  
pp. 22-29
Author(s):  
Dhiraj Khurana ◽  
◽  
Cheshta Diwan

The World wide web is growing day by day exponentially and it becomes difficult to find the relevant information even using efficient search engines. Search results always give lots of irrelevant data which often misled to actual needed information. One solution of this problem is semantic web which was proposed by Sir Tim Berner’s Lee. Semantic web is an extended version of World Wide Web that has opened the new doors for efficient information retrieval process. Ontology is one of the methodologies to implement the semantic web. In this paper govt exam ontology is created with the help of protégé ontology creation tool. In the given ontology various relationship between different govt exams of central and state level is provided and also the general information about these exams like exam type, subject level of exam and institutes for coaching is given. This domain specific ontology can help the potential information seeker to get the accurate information which can help to crack the exam.

Author(s):  
Georg Neubauer

The main subject of the work is the visualization of typed links in Linked Data. The academic subjects relevant to the paper in general are the Semantic Web, the Web of Data and information visualization. The Semantic Web, invented by Tim Berners-Lee in 2001, was announced as an extension to the World Wide Web (Web 2.0). The actual area of investigation concerns the connectivity of information on the World Wide Web. To be able to explore such interconnections, visualizations are critical requirements as well as a major part of processing data in themselves. In the context of the Semantic Web, representation of information interrelations can be achieved using graphs. The aim of the article is to primarily describe the arrangement of Linked Data visualization concepts by establishing their principles in a theoretical approach. Putting design restrictions into context leads to practical guidelines. By describing the creation of two alternative visualizations of a commonly used web application representing Linked Data as network visualization, their compatibility was tested. The application-oriented part treats the design phase, its results, and future requirements of the project that can be derived from this test.


Author(s):  
Janine M. Viglietti ◽  
Deborah Moore-Russo

With the increased push for digital resources in mathematics education, it is increasingly necessary to develop the skills needed to navigate the ever-changing digital landscape of the World Wide Web. The purpose of this chapter is three-fold. First, we help the reader develop a better understanding of the digital landscape through discussion of the contributors and contributions of the entities developing digital resources in the field of mathematics education. Second, we consider means to successfully navigate the digital landscape by developing a better understanding of the machinations of the tools that are commonly used to seek out digital resources. Finally, we consider ways the reader can become more intelligent consumers of digital resources. We synthesize knowledge of stakeholders, resources, and search tools to help teachers and teacher educators develop the habits of mind that will help them seek out quality resources and relevant information in much in the same way as researchers do.


Author(s):  
Adélia Gouveia ◽  
Jorge Cardoso

The World Wide Web (WWW) emerged in 1989, developed by Tim Berners-Lee who proposed to build a system for sharing information among physicists of the CERN (Conseil Européen pour la Recherche Nucléaire), the world’s largest particle physics laboratory. Currently, the WWW is primarily composed of documents written in HTML (hyper text markup language), a language that is useful for visual presentation (Cardoso & Sheth, 2005). HTML is a set of “markup” symbols contained in a Web page intended for display on a Web browser. Most of the information on the Web is designed only for human consumption. Humans can read Web pages and understand them, but their inherent meaning is not shown in a way that allows their interpretation by computers (Cardoso & Sheth, 2006). Since the visual Web does not allow computers to understand the meaning of Web pages (Cardoso, 2007), the W3C (World Wide Web Consortium) started to work on a concept of the Semantic Web with the objective of developing approaches and solutions for data integration and interoperability purpose. The goal was to develop ways to allow computers to understand Web information. The aim of this chapter is to present the Web ontology language (OWL) which can be used to develop Semantic Web applications that understand information and data on the Web. This language was proposed by the W3C and was designed for publishing, sharing data and automating data understood by computers using ontologies. To fully comprehend OWL we need first to study its origin and the basic blocks of the language. Therefore, we will start by briefly introducing XML (extensible markup language), RDF (resource description framework), and RDF Schema (RDFS). These concepts are important since OWL is written in XML and is an extension of RDF and RDFS.


Author(s):  
Rafael Cunha Cardoso ◽  
Fernando da Fonseca de Souza ◽  
Ana Carolina Salgado

Currently, systems dedicated to information retrieval/extraction perform an important role on fetching relevant and qualified information from the World Wide Web (WWW). The Semantic Web can be described as the Web’s future once it introduces a set of new concepts and tools. For instance, ontology is used to insert knowledge into contents of the current WWW to give meaning to such contents. This allows software agents to better understand the Web’s content meaning so that such agents can execute more complex and useful tasks to users. This work introduces an architecture that uses some Semantic Web concepts allied to Regular Expressions (REGEX) in order to develop a system that retrieves/extracts specific domain information from the Web. A prototype, based on such architecture, was developed to find information about offers announced on supermarkets Web sites.


Author(s):  
Salvador Miranda Lima ◽  
José Moreira

The emergence of the World Wide Web made available massive amounts of data. This data, created and disseminated from many different sources, is prepared and linked in a way that is well-suited for display purposes, but automation, integration, interoperability or context-oriented search can hardly be implemented. Hence, the Semantic Web aims at promoting global information integration and semantic interoperability, through the use of metadata, ontologies and inference mechanisms. This chapter presents a Semantic Model for Tourism (SeMoT), designed for building Semantic Web enabled applications for the planning and management of touristic itineraries, taking into account the new requirements of more demanding and culturally evolved tourists. It includes an introduction to relevant tourism concepts, an overview of current trends in Web Semantics research and a presentation of the architecture, main features and a selection of representative ontologies that compose the SeMoT.


Author(s):  
Kevin Curran ◽  
Gary Gumbleton

Tim Berners-Lee, director of the World Wide Web Consortium (W3C), states that, “The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation” (Berners-Lee, 2001). The Semantic Web will bring structure to the meaningful content of Web pages, creating an environment where software agents, roaming from page to page, can readily carry out sophisticated tasks for users. The Semantic Web (SW) is a vision of the Web where information is more efficiently linked up in such a way that machines can more easily process it. It is generating interest not just because Tim Berners-Lee is advocating it, but because it aims to solve the problem of information being hidden away in HTML documents, which are easy for humans to get information out of but are difficult for machines to do so. We will discuss the Semantic Web here.


2013 ◽  
Vol 60 (1) ◽  
pp. 42-53 ◽  
Author(s):  
Alexandru Napoleon Sireteanu

Abstract In the beginning World Wide Web was syntactic and the content itself was only readable by humans. The modern web combines existing web technologies with knowledge representation formalisms. In this sense, the Semantic Web proposes the mark-up of content on the web using formal ontology that structure essential data for the purpose of comprehensive machine understanding. On the syntactical level, standardization is an important topic. Many standards which can be used to integrate different information sources have evolved. Beside the classical database interfaces like ODBC, web-oriented standard languages like HTML, XML, RDF and OWL increase in importance. As the World Wide Web offers the greatest potential for sharing information, we will base our paper on these evolving standards.


Author(s):  
Rui G. Pereira ◽  
Mario M. Freire

The World Wide Web (WWW, Web, or W3) is known as the largest accessible repository of human knowledge. It contains around 3 billion documents, which may be accessed by more than 500 million worldwide users. In only 13 years since its appearance in 1991, the Web suffered such a huge growth that it is safe to say there is no phenomenon in history that can compare to it. It reached such importance that it became an indispensable partner in the lives of people (Daconta, Obrst & Smith, 2003).


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