Semantic association-based search and visualization method on the semantic Web portal

As the information on the web dramatically increases, the existing web reveals more and more limitations in information search because web pages are designed only for human consumption by mixing content with presentation. In order to improve this situation, the Semantic Web based on ontology comes on the stage by W3C, and it will bring a significant advancement in web search. To do this, the Semantic Web must provide novel search and visualization methods which can help users instantly and intuitively understand why and how the results are retrieved. In this paper, we propose a semantic association-based search methodology that consists of how to find relevant information for a given user's query in the ontology, that is, a semantic network of resources and properties, and how to provide proper visualization and navigation methods on the results. From this work, users can search the semantically associated resources with their query and also navigate such associations between resources.