Semantic Web Applications

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.

International Journal of Engineering Technologies and Management Research, 2019

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), 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 a provide a technological basis to enable the Semantic Web. The logic languages for Semantic Web are described (which build on the of RDF and ontology languages). They, together with digital signatures, enable a web of trust, which will have levels of trust for its resources and for the rights of access, and will enable generating proofs, for the actions and resources on the web.

2016

Semantic web is an attempt to provide technology, standards, and methodologies to structure and describe the meaning of data on the web, and to make it easier to process by machines. Thus, allowing software to accomplish many of the tasks users must currently perform manually. The Semantic Web has attracted a diverse, but more important, community of researchers, institutes and companies, all sharing the belief that one day the Semantic Web will have a huge impact on our lives as the current web has. Therefore, there are a lot of work have been done in this area. This paper, gives an overview of Semantic Web and what have been done so far in the Semantic Web filed. Then, it highlights the current major challenges in this field.

International Journal of Recent Technology and Engineering (IJRTE), 2019

Semantic web is an extension of the World Wide Web (WWW) which makes the machine to understand the content of the web. The main idea behind the semantic web is to share the interlinked documents over Internet in a meaningful way. Web contents are created and designed to be read by humans that may not be understood by computer programs. Thus, they fail to communicate with each other. Semantic web brings the web structure to meaningful form of information. This article describes building blocks, several tools and techniques to implement a killer application on the semantic web.

This research is mainly about to discuss World Wide Web leading to the need of the proposition of a new concept i.e. Semantic Web. Concerning Semantic Web, the conducted research provides information for the implementation of semantic based web applications by providing the concept of structuring of data over the web to take advantage in extracting semantic based information. Going into the details, this paper presents Ontology as the main building block of Semantic Web of present time, its supporting technologies i.e. XML, RDF and OWL, and some existing limitations with respect to its use in real time web application development. Furthermore, before concluding the discussion some Semantic Web based applications are presented which are developed with the use of Ontology and providing lots of values in the implementation of semantic based applications by providing structured data over the web to take advantage in implementing efficient web based information retrieval search mechanisms.

Journal of emerging technologies and innovative research, 2015

The main idea of this paper is to show current state of the Semantic Web concept. The large growth in the volume of data and with the extreme growth of web pages, today's search engines are not suitable anymore. Search engine is the most important tool to find any information in World Wide Web. Most existing Web search engines only generate a result list matching the user's query accurately. Based on extremely large and dynamic source of information, both normal and professional users obtain relevant information from information retrieval system with respect to the query that expresses the user's needs. Semantic Search Engine is born of traditional search engine to overcome the above problem. The Semantic Web is added advance features of the current web in which information is given well-defined meaning. Every page in semantic web contains semantic metadata that holds additional information's about the Web page. In this paper we made a brief survey on various assure ...

2012

The emerging trends of Semantic web attract the attention of researchers, due to the increased level of machine understandability which could offer an enhanced approach of acquiring more relevant results. It leads to redefining of the existing conventional web services (Web 2.0) into semantic web services (Web 3.0).The Conventional WSDL Services (Web Service Definition Language) are mapped into the semantic based OWL-S Services (Web Ontology Language for Services) through the addition of Semantic Annotations. This paper clearly focuses on giving a detailed overview of Semantic web, thereby states the need for redefinition of Web2.0.It stands as a guide to the researchers to gain an additional knowledge and for the beginners, a stepping stone into the semantic web research.

International Journal of Engineering & Technology, 2018

Semantic Web is the extension of existing web that allows well defined expressions for the meaning of information which can be understood by computers and people both. In this paper we are doing study on semantic and is our review paper. Semantic web is a recommended development project by W3C (World Wide Web Consortium) which focuses on the enhancing of information search by keeping the facts in structured form using eXtensible Markup Language (XML) and marked in such a way that it can be understand by the system. To make the development of semantic web promising, new international standard is developed for exchanging of ontologies called OWL Web Ontology language. In XML we just provide tag of the model and store data in the hierarchy without its meaning, that's why the computer cannot be able to process the data but in Semantic Web user can provide with a definition so that the computer can better recognize its meaning and provide with the better displaying of information. A crux of semantic web is that it works on the definition of the ontologies. Ontologies are responsible for re-usability and sharing of information. Semantic Web provides with a shared language which has stored data in the non-ending linking of distinct databases which provides data related to the real world objects. RDF is a common language for semantic web and is responsible for the collection of data on web and assembles different database from diverse sources and SPARQL is there for linking of databases for unifying documents. Thus, semantic web is the well-structured data web that relates all the data that present on the web and understands them to provide the exact display requested by the end user.

2011

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). However, 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. In response to this problem, many new research initiatives and commercial enterprises have been set up to enrich the available information with machineprocess able semantics. This Semantic Web will provide intelligent access to heterogeneous, distributed information, enabling software products (agents) to mediate between user needs and the information sources available. In this paper we describe some areas for application of this new technology. We focus on on-going work in the fields of knowledge management and electronic commerce. We also take a perspective on the semantic web-enabled web services which will help to bring the semantic web to its full potential.