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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Myungjin Lee Wooju Kim |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Information and Industrial Engineering, University of Yonsei, Seoul, Korea (Myungjin Lee; Wooju Kim) |
| Abstract | 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 different search methods based on relationships between resources. In this paper, we propose a semantic association 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. From this work, users can search the semantically associated resources with their query as valuable and important information. |
| Starting Page | 1523 |
| Ending Page | 1527 |
| File Size | 647707 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424448692 |
| DOI | 10.1109/IEEM.2009.5373086 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Keyword search Semantic Web Portal Humans Ontologies Industrial engineering Information retrieval Semantic Web Search methods Web pages IP networks semantic search ontology retrieval Information theory |
| Content Type | Text |
| Resource Type | Article |
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