Scalable distributed architectures for information retrieval
Scalable distributed architectures for information retrieval
On caching search engine query results
Computer Communications
A Cache-Based Distributed Terabyte Text Retrieval System in CADAL
ICADL '02 Proceedings of the 5th International Conference on Asian Digital Libraries: Digital Libraries: People, Knowledge, and Technology
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In China-US Million Book Digital Library, output of the digitalization process is more than one terabyte of text in OEB and PDF format. To access these data quickly and accurately, we are developing a distributed terabyte text retrieval system. With the query cache, system can search less data while maintaining acceptable retrieval accuracy. From the OEB package, we get its metadata and structural information to implement multi-scale indexing and retrieval. We are to explore some new retrieval models and text clustering approaches in the Digital Library.