Automatic text processing
The Harvest information discovery and access system
Computer Networks and ISDN Systems
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Efficient and effective metasearch for a large number of text databases
Proceedings of the eighth international conference on Information and knowledge management
Towards a highly-scalable and effective metasearch engine
Proceedings of the 10th international conference on World Wide Web
Efficient and effective metasearch for text databases incorporating linkages among documents
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
A highly scalable and effective method for metasearch
ACM Transactions on Information Systems (TOIS)
Building efficient and effective metasearch engines
ACM Computing Surveys (CSUR)
Toward Web-Based Application Management Systems
IEEE Transactions on Knowledge and Data Engineering
A Statistical Method for Estimating the Usefulness of Text Databases
IEEE Transactions on Knowledge and Data Engineering
Determining Text Databases to Search in the Internet
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
The MyVIEW Project: A Data Warehousing Approach to Personalized Digital Libraries
NGIT '99 Proceedings of the 4th International Workshop on Next Generation Information Technologies and Systems
Two-stage statistical language models for text database selection
Information Retrieval
AllInOneNews: development and evaluation of a large-scale news metasearch engine
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Classification-aware hidden-web text database selection
ACM Transactions on Information Systems (TOIS)
Foundations and Trends in Information Retrieval
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The current search facilities on the web are amazingly powerful, but they are still lacking. Taking the whole universe as one flat data space and searching it with keywords has inherent limitations of scale. The challenge is to provide users with ways to focus their search better without making it too difficult or too inefficient. We introduce a method of conducting search on the web that is based on a two-level search idea. It strikes a balance between flat global search and specialized databases, and gives users convenient access to vast amounts of information.