一种基于关键词的大规模DeepWeb信息检索系统

针对传统web数据集成系统实用性、伸缩性和适应性差的问题，提出了一种新的web 数据集成系统体系结构，实现web规模的数据集成。系统支持用户提交关键词查询、提取用户查询模式、映射相关领域、选择web数据库、执行查询排序查询结果。介绍了组成系统的关键组件，及创建Deep Web索引、领域映射和用户模式匹配等处理大规模异构web数据的关键技术。

Keyword-Based Information Retrieval over Large Scale Deep Web

In the context of data integration on the web,traditional data integration system lacks scalability, flexibilityare,is no longer adequate. A new data integration architecture is proposed, which achieves web-scale data integration.Key components in the system are introduced.The system allows the users to submit keyword-based queries, maps user query schema to a suitable domain, selects web databases, querys and then ranks results. Key techniques,indexing the DeepWeb,mapping domain and matching user query schema, to handle the scale and heterogeneity of structured web data are described.