The effectiveness of GIOSS for the text database discovery problem
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Searching distributed collections with inference networks
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Ariadne: a system for constructing mediators for Internet sources
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
An association-based method for automatic indexing with a controlled vocabulary
Journal of the American Society for Information Science
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Automatic RDF metadata generation for resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
Query routing for Web search engines: architectures and experiments
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
What is this page known for? Computing Web page reputations
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Modern Information Retrieval
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Effective and Efficient Automatic Database Selection
Effective and Efficient Automatic Database Selection
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Ensuring access to specialized web-collections in a fast evolving web environment requires flexible techniques for orientation and querying. The adoption of meta search techniques for web-collections is hindered by the enormous heterogeneity of the resources. In this paper we introduce QUEST -- a system for querying specialized collections on the web. One focus of QUEST is to unify search fields from different collections by relating the search concepts to each other in a concept-taxonomy. To identify the most relevant collections according to a user query, we propose an association-based strategy. Furthermore the Frankurt Core is introduced--a metadata-scheme for describing web-collections as a whole. Its fields are filled automatically by a metadata-collector component. Finally a prototype of QUEST is presented, demonstrating the integration of the techniques in an overall architecture.