一种基于关键词的大规模Deep Web信息检索系统  

Keyword-Based Information Retrieval over Large Scale Deep Web

作　　者：李益民[1] 

机构地区：[1]北华大学计算机科学技术学院,吉林132021

出　　处：《图书情报工作》2008年第10期29-32,共4页Library and Information Service

摘　　要：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,提出一种新的Web数据集成系统体系结构以实现Web规模的数据集成,该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,并介绍组成系统的关键组件及创建DeepWeb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。In the context of data integration on the Web, traditional data integration system lacks scalability, flexibility and adaptability. A new data integration architecture is proposed, which can achieve Web-scale data integration. The system allows the users to submit keyword-based queries, can map user query schema to a suitable domain, allow Web databases selecting, operate queries data and then ranks results. Key techniques, include indexing the deep Web, mapping domain and matching user query schema, handling the scale and heterogeneity of structured Web data are also described.

关 键 词：Deep WEB数据集成 关键词查询 查询模式 领域映射 模式匹配 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]