Toward a distributed terabyte text retrieval system in China-US million book digital library

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.

[1]  Kathryn S. McKinley,et al.  Scalable distributed architectures for information retrieval , 1999 .

[2]  Yinglian Xie,et al.  Locality in search engine queries and its implications for caching , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[3]  Peter Bailey,et al.  A parallel architecture for query processing over a terabyte of text , 1996 .

[4]  Evangelos P. Markatos,et al.  On caching search engine query results , 2001, Comput. Commun..