Rich interaction in the digital library
Communications of the ACM
Deja Vu: a knowledge-rich interface for retrieval in digital libraries
IUI '98 Proceedings of the 3rd international conference on Intelligent user interfaces
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Comparative analysis of five XML query languages
ACM SIGMOD Record
An expressive and efficient language for XML information retrieval
Journal of the American Society for Information Science and Technology - XML
Modern Information Retrieval
Continual Queries for Internet Scale Event-Driven Information Delivery
IEEE Transactions on Knowledge and Data Engineering
The Index-Based XXL Search Engine for Querying XML Data with Relevance Ranking
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Efficient Filtering of XML Documents for Selective Dissemination of Information
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
SIFT: a tool for wide-area information dissemination
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
A-TOPSS: a publish/subscribe system supporting approximate matching
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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Publish/subscribe systems filter published documents and inform their subscribers about documents matching their interests. Recent systems have focussed on documents or messages sent in XML format. Subscribers have to be familiar with the underlying XML format to create meaningful subscriptions. A service might support several providers with slightly differing formats, e.g., several publishers of books. This makes the definition of a successful subscription almost impossible. This paper proposes the use of an approximative language for subscriptions. We introduce the design of our ApproXFilter algorithm for approximative filtering in a publish/subscribe system. We present the results of our performance analysis of a prototypical implementation.