Presently besides the classic “Web of documents” it is now required to build a technology stack to support a “Web of data,” the sort of data we find in databases. The vital goal of the Web of data is to enable computers to do more useful work and to build up systems that can support trusted interactions over the network. The title “Semantic Web” refers to the Web of allied data. Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and provide protocols for handling data. Linked data are empowered by technologies such as RDF, SPARQL, and OWL. This paper primarily put the idea behind the understanding by the computer. The goal is to develop techniques for automatic creation of intelligent web applications which collect information from many different sources, combine information, and present it to users in a meaningful way. This paper proposes a model which has been implemented in an internet setup. The aim of the model is to assemble an application for users where the user lists a set of topic names (s) he is interested in, and the system aids in constructing the “best” user-tailored structure, where “best” is characterized in terms of what the user knows about topics.

RDF SPARQL OWL