Abstract

The problem faced by both software developers and user in development environment and user environment is finding compatible and complementary components in large set of different applications. Different application built in different environment, at different time, by different technology creates a chaotic situation for user and developer to select a required component from vast variety of applications. The problem can be solved by applying technologies related to semantic web. Ontology is created which relates pulverized components based on requirements. Keyword: Semantic Web, Ontology, Pulverization and amalgamation. I. Introduction The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is a collaborative effort led by W3C with participation from a large number of researchers and industrial partners. It is based on the Resource Description Framework (RDF), which integrates a variety of applications using XML for syntax and URIs for naming, a concept proposed by World Wide Web's inventor Tim Berners-Lee. The Semantic Web is based on Tim Berners-Lee's World Wide Web idea, that the Web as a whole can be made more intelligent and perhaps even intuitive about how to serve a user's need. Berners-Lee observes that although the search engine indexes have much of the Web's content, they have little ability to select the pages that a user really want or need. He foresees a number of ways in which developers and authors can use self-descriptions and other techniques so that context- understanding programs can selectively find what users want. The Semantic Web is focused on machines. The Web requires a human operator, using computer systems to perform the tasks required to find, search and aggregate its information. It's impossible for a computer to do these tasks without human guidance because Web pages are specifically designed for human readers. The Semantic Web is a project that aims to change that by presenting Web page data in such a way that it is understood by computers, enabling machines to do the searching, aggregating and combining of the Web's information — without a human operator.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call