Myungjin Lee , Wooju Kim , June Seok Hong and Sangun Park
1Dept. of Information and Industrial Engineering, Yonsei University, Seoul, Korea
2Division of Business Administration, Kyonggi University, Kyonggi, Korea
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 associationbased
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.
KEYWORDS
Semantic Web, Semantic Web Portal, Ontology, Ontology Retrieval, Semantic Search, Semantic Visualization
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