Enhance the content search by using Semantic Web

Abstract

The content search of web content for large data and information presents enormous resourcing and quality challenges. Users expect to find information quickly, with minimal navigation and with consistency of information and nomenclature. For example content and solutions information, users expect clear, relevant lists of information and services that comprise those solutions, including research papers, publications, videos, images, interviews, conferences and case studies that provide referential examples. The foundation component of the Semantic Web is ontologies which are used to embody knowledge in the Semantic Web. Ontology is an information form is used to demonstrate a set of concepts and the relationships connecting those concepts within a domain. Taking unstructured data from the web and formalizing it so that it can be structured automatically is a difficult work to do, but apart from its significance it is interesting as well. Through this research it is intended to make the automation of ontology public, as it is based on open standard and constructed using publicly available resources of Google, like Google AJAX API and JavaScript parser JSON.