A Semantic Web Primer

Open J. Web Technol., 2015

One major aim of the Semantic Web is to enable a machine-processable Web of data. Hence, the Semantic Web community regards it as extension of the traditional web. On the other hand, the applications of the Semantic Web rely deeply on web technologies in order to work in a distributed fashion, world-wide. The goal of this special issue is to bring together contributions from these communities to address the challenges in Semantic Web and Web technologies in cooperation. The papers included in this special issue demonstrate how new technologies of the Web and Semantic Web complement each other and provide more contributions to the area of web technologies. The semantic part of this special issue, which contains substantial theoretical and empirical contributions to Semantic Web, is published in Open Journal of Semantic Web (OJSW).

2009

The Semantic Web vision has drove hundreds of practitioners to research and develop a new bread of applications that could take the full potential of the Web to the next level. While there is a fairly clear understanding of where Web 1.0 and Web 2.0 stand now a day, the current status and position of the Semantic Web, also known as Web 3.0, is not as clear and well defined. Therefore, in this paper we present a landscape that illustrates and captures the trends in the Semantic Web with the purpose of guiding future developments.

E-Reference Context and Discoverability in Libraries

The Semantic Web provides a common structure that allows data to be shared and reused across a variety of applications. The history and terminology of the Semantic Web, examples of STM achievements with semantics, an examination of semantic technology companies, and future possibilities for reference publishers are discussed and examined in this chapter. Cooperation between publishers will be imperative if we are to fully benefit from the advantages of the semantic technology.

2002

Currently, computers are changing from single, isolated devices into entry points to a worldwide network of information exchange and business transactions called the World Wide Web (WWW). For this reason, support in data, information, and knowledge exchange has become a key issue in current computer technology. The success of the WWW has made it increasingly difficult to find, access, present, and maintain the information required by a wide variety of users.

This paper discusses about the concept of semantic web, the technology, web content writing, and necessity for the development of web 3.0. The various components of semantic web technology such as HTTP, URI, RDF, XML, Ontology, W3C and other components specified as W3C standards are touched upon briefly. The benefits of implementing semantic web in the Library functions to provide effective information services and for optimum use of the Library collection are illustrated here.

2007

Abstract The goal of Semantic Web research is to transform the Web from a linked document repository into a distributed knowledge base and application platform, thus allowing the vast range of available information and services to be more effectively exploited. As a first step in this transformation, languages such as OWL have been developed; these languages are designed to capture the knowledge that will enable applications to better understand Web accessible resources, and to use them more intelligently.

In 1998 the WorldWide Web Consortium (W3C) inaugurated a research initiative centred on the idea of providing semantics for and facilitating the extraction of knowledge from the WWW. The Semantic Web is a vision of Tim Berners-Lee, the creator of the WWW. With the help of XML, RDF, OIL and other emergent standards it will be possible to give more structure and meaning to existing web data. This will lead to a universal network where all available information can effectively be found: the semantic web. Clearly, the realisation of the semantic web will have a huge influence on the way digital libraries will be conceived.

2004

Annals of Mathematics, …, 2003

The Semantic Web is a concept that enables better machine processing of information on the Web, by structuring documents written for the Web in such a way that they become understandable by machines. This can be used for creating more complex applications (intelligent browsers, more advanced Web agents), global databases with data from the Web, reuse of information, etc. Semantic modeling languages like the Resource Description Framework (RDF) and topic maps employ XML syntax to achieve this objective. New tools exploit cross domain vocabularies to automatically extract and relate the meta information in a new context. Web Ontology languages like DAML+OIL extend RDF with richer modeling primitives and provide a technological basis to enable the Semantic Web. In this paper we give a review of the basic ideas and principles of the Semantic wWeb, as well as tools used, and their comparison.

The World Academy of Research in Science and Engineering

The web is meant for human consumption rather than the machine consumption. At present scenario, everything on the web is machine readable, not machine understandable. The method for data handling in the traditional web (The Syntactic web) is tedious, time consuming, and also provides many unrelated information. The Syntactic web (Current Web) provides an interface for users to render HTML documents and retrieve linked documents with simple user interface commands. On the other hand, Semantic Web making the web more understandable by machines and provide accurate results. So Semantic Web is needed to express the information in a precise, machine interpretable form. This Web aims to convert the current web, which is dominated by unstructured and semi-structured documents into 'web of data'. In addition, Semantic web integrates the information in an intelligent way and providing semantic based access to the internet. Semantic is building an appropriate infrastructure for intelligent agents to run around the web performing complex action for their users extracting information from texts. Semantic web also provides automated information access based on Machineprocessable semantics of data and heuristics that use these metadata. This paper presents a comparative study of Syntactic and Semantic web technologies.

2008

The Semantic Web aims to explicate the meaning of Web content by adding semantic annotations that describe the content and function of resources. Providing shareable annotations requires the use of ontologies that describe a common model of a domain. The Web Ontology Language OWL has been defined in order to support representation of ontologies, and their manipulation through the use of reasoning.

The term " Semantic Web " is often used more specifically to refer to the formats and technologies that enable it. These technologies include the Resource Description Framework (RDF), a variety of data substitution formats, and notations such as RDF Schema and the Web Ontology Language, all of which are intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain. In the last decade the increasing popularity of the World Wide Web has lead to an exponential growth in the number of pages available on the Web. This huge number of Web pages makes it increasingly difficult for users to send required information. To enable machines to support the user in solving information problems, the Semantic Web proposes an extension to the existing Web that makes the semantics of the Web pages machine process able. The Semantic Web is well recognized as an effective infrastructure to enhance visibility of knowledge on the Web. The foundation of the Semantic Web is ontology , which is used to unambiguously represent our conceptualizations. Ontology engineering in the Semantic Web is primarily supported by languages such as RDF, RDFS and OWL. This article discusses the requirements of ontology's in the context of the Web, compares the above three languages with existing knowledge representation formalisms, and surveys tools for managing and applying ontology's.

The World Wide Web (Berners-Lee, Cailliau & Groff, 1992; Berners-Lee, 1999) has changed the way people communicate with each other and the way business is conducted. It lies at the heart of a revolution which is currently transforming the developed world towards a knowledge economy (Neef, 1997), and more broadly speaking, to a knowledge society.

2006

The Web grew in five years from a development project to a global business. In contrast the semantic Web has spent ten years developing from a plan to introduce metadata to the Web to a suite of technologies that are used in niche markets, but are far from the global commodity business of the Web. There remain fundamental problems in implementing the vision of a semantic Web, which require both original technical research and considerable consensus building to reach agreed solutions. Many of the successes of the semantic Web are in small technologies such as RSS, Dublin Core and FOAF, while the main thrust of research is in big technologies such as ontological modeling and inference engines. The links between the small and large, as well as an understanding of the resulting benefits are required to move the semantic Web into the mainstream Web.

DESIDOC Journal of Library & Information Technology, 2011

With changing technology, the Internet has taken a pivotal role in all kinds of applications in our daily lives. To handle flood of information on the Internet, smarter Web technology is also required. This requirement has led to the advent of newer, smarter and better Web technology called 'Semantic Web'. Semantic Web is the next step in Web evolution. High usability of Semantic Web has found significant applications in the field of life sciences, crime investigation, scientific research, literary analysis, social networking, electronic commerce, knowledge management, digital libraries, defence, e-government, energy sector, financial services, healthcare, oil and gas industry, publishing, website back-ends, multimedia, etc. This paper discusses the most prominent areas for application of Semantic Web technology. http://dx.doi.org/10.14429/djlit.31.4.1113