Implementation of Sesame Tool for Semantic Web Search Engine Swoogle

Abstract

Everything in this world is keep go on changing because change is the rule of the world. Everyone and Everything is going so fast and so accurate, cause world need accuracy as well. So to run with the world we need to remove our drawbacks and have to adopt new technology to overcome the disadvantages of existing system. The present way of the World Wide Web (WWW) has taken the availability of information to an unprecedented level. The rapid growth of the web poses new problems. The next generation of Web is expected to be the Semantic Web. The vision of the Semantic Web is to give data on the web a well defined meaning by representing it in languages like RDF and OWL and linking it to commonly accepted ontology. The Semantic Web provides a way to encode information and knowledge on web pages in a form that is easier for computers to understand and process. This Thesis discusses the issues underlying the discovery, indexing and search over web documents that contain semantic web markup. Unlike conventional Web search engines, which use information retrieval techniques designed for documents of unstructured text, Semantic Web search engines must handle documents comprised of semi-structured data. Moreover, the meaning of data is defined by associated ontologies that are also encoded as semantic web documents whose processing may require significant amount of reasoning. This thesis work describe Swoogle, semantic web search engine that discovers, analyzes, and indexes knowledge encoded in semantic web documents throughout the Web, and its use to help human users and software agents find relevant knowledge. As Swoogle Search Engine extracts SWD which are store in the repositories so there is need of repositories. Sesame can be used for creating arbitrary repositories, ranging from traditional Data Base Management Systems, to dedicated RDF triple stores. Sesame also implements a query engine for RQL, the most powerful RDF/RDF Schema query language to date.