期刊论文详细信息
| Journal of Computer Science | |
| Context Disambiguation Based Semantic Web Search for Effective Information Retrieval | Science Publications | |
| M. Barathi1  S. Valli1  | |
| 关键词: Context disambiguation; information retrieval; Word/Net based semantic; similarity measures; K-core algorithm; semantic similarity; search engine; | |
| DOI : 10.3844/jcssp.2011.548.553 | |
| 学科分类:计算机科学(综合) | |
| 来源: Science Publications | |
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【 摘 要 】
Problem statement: Search queries are short and ambiguous and are insufficient forspecifying precise user needs. To overcome this problem, some search engines suggest terms that aresemantically related to the submitted queries, so that users can choose from the suggestions based ontheir information needs. Approach: In this study, we introduce an effective approach that captures theuser
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201911300471475ZK.pdf | 159KB |
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