Integration of Semantic Data Using a Novel Web Based Information Query System
Okkyung Choi, Sangyong Han, Ajith Abraham · 2005
Semantic search, interoperability, and easy integration between applications are the main advantages of the semantic web. It is considered that the next generation web model can provide solutions to many problems of the current web technology. The main characteristic of the semantic web is to assign elements of ontology to the documents. Therefore, it is necessary to use the rules that are combined with various semantic technologies to extract metadata. These metadata are based on ontology information which is maintained by software agents. In this paper, we propose Semantic Web based Information Query System (SW-IQS) using an Ontology Server. SW-IQS is supposed to enhance the 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 fast and accurate information retrieval. It is implemented and compared with the existing models.