DeepSearcher: A One-Time Searcher for Deep Web

摘要：

The proliferation of database-driven web sites has made user pay more effort for selecting the best satisfying results. Therefore, we propose a searching system named as DeepSearcher to meet user’s need, which includes offline processing (e.g. pre-processing) and online processing. The latter consists of Query Processor, Result Integrator, Cache Subsystem and Service Portal. To implement the system, key techniques such as subject-based classification, clusteringbased result extraction and schema recognition, dominant attribute-based data sources ranking, query relaxation, duplicate identification and result top-k are adopted to support the searching system. The demonstration shows the feasibility and the promise of DeepSearcher.

关键词： deep web data integration data extraction

作者: Derong Shen Gaoshang Sun Tiezheng Nie Yue Kou

作者单位: College of Information Science and Engineering, Northeastern University, Shenyang, China,110004

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）