Semantic Web technologies have now been applied to build new or semantic enhanced real-world applications. Semi-structured information which integrates metadata is becoming accessible on the Internet. Current search methods do not tackle the level of semantic matching that is needed to align user information with vocabulary elements and introduce a barrier to the creation of Linked Information on the Web. To this end, we describe a semantic search method in which keywords can be adapted to query semantic web data. This approach converts keyword queries automatically into formal structured queries such that end users can use keywords to perform semantic searches. In particular, this paper focuses on constructing and querying the semantic web data in a virtual document. Finally, we provide both keywordbased and more sophisticated search interfaces to retrieve the relevant data objects.

Keywords : SPARQL, RDF Graph, Virtual Document, Semantic Search.