Semantic Web based information query system for the integration of semantic data

Abstract

In this paper, we propose semantic Web based information query system (SW-IQS) using ontology server. SW-IQS is supposed to enhance efficiency and accuracy of information retrieval for unstructured and semi-structured documents. For the interoperability and easy integration, we suggest RDF based repository system. A new ranking algorithm is also proposed to measure the similarity between documents with semantic information for rapid and correct information retrieval. The proposed algorithm is implemented and compared with some of the existing models.